Sensitivity analysis meta analysis

3.3.8 Sensitivity analysis in meta-analysis As there are many decisions involved in meta-analyses it is important to perform a sensitivity analysis in order to explore the impact of different decisions on results. For example, one sensitivity analysis may explore the impact of using different meta-analysis models Meta-analysis, funnel plots and sensitivity analysis. Publication bias is a major problem, perhaps the major problem, in meta-analysis (or systematic reviews). Small studies are more likely to be published if their results are 'significant' than if their results are negative or inconclusive, and so the studies available for review are biased in. Abstract. Publication bias is a major problem, perhaps the major problem, in meta-analysis (or systematic reviews). Small studies are more likely to be published if their results are 'significant' than if their results are negative or inconclusive, and so the studies available for review are biased in favour of those with positive outcomes Sensitivity analysis assuming different prior distributions for the two main parameters of a Bayesian meta-analysis (i.e., the overall effect and the heterogeneity of effect sizes across studies). meta_sensitivity: Sensitivity Analysis for Bayesian Meta-Analysis in metaBMA: Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis We should acknowledge that in general exploration of the reasons of heterogeneity is a difficult task in meta-analysis. Sensitivity analyses where studies are subgrouped based on various characteristics are often performed. 23 Subgroups may be selected based on clinical expertise, prior knowledge on the scientific field, or other factors. 4 Meta-regression for one or multiple factors may serve similar purposes. 24 All of these exploratory analyses may suffer from both lack of.

3.3.8 Sensitivity analysis in meta-analysis - JBI Manual ..

Sensitivity Analysis. Sensitivity analysis corresponds to a set of statistical techniques focused on determining how the variations of the M input variables (xi=x1,x2xM) of a mathematical model influence the response value (yk). From: Artificial Neural Networks for Engineering Applications, 2019. Related terms: Hazard Ratio; Funnel Plot; Meta-Analysis A sensitivity analysis is a repeat of the primary analysis or meta-analysis in which alternative decisions or ranges of values are substituted for decisions that were arbitrary or unclear Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be divided and allocated to different sources of uncertainty in its inputs. A related practice is uncertainty analysis, which has a greater focus on uncertainty quantification and propagation of uncertainty; ideally, uncertainty and sensitivity analysis should be run in tandem. The process of recalculating outcomes under alternative assumptions to. Sensitivity analysis is a method for predicting the outcome of a decision if a situation turns out to be different compared to the key predictions. It helps in assessing the riskiness of a strategy. Helps in identifying how dependent the output is on a particular input value Our systematic review and meta-analysis suggests that e-FAST is a useful bedside tool for ruling in pneumothorax, pericardial effusion, and intra-abdominal free fluid in the trauma setting. Its usefulness as a rule-out tool is not supported by these results

Metafor package: bias and sensitivity diagnostics. I am conducting a multi-level meta-analysis that includes some articles with multiple outcomes. Therefore I am using the rma.mv () function. Example code: I read in a previous query that when using rma.mv (), ranktest () is not a reliable test of funnel plot asymmetry Financial Sensitivity Analysis allows the analyst to be flexible with the boundaries within which to test the sensitivity of the dependent variables to the independent variables. For example, the model to study the effect of a 5-point change in interest rates on bond prices would be different from the financial model that would be used to study the effect of a 20-point change in interest rates.

Pooled sensitivity and specificity were estimated using random effects bivariate meta-analyses. Main outcome measures: The primary outcome was overall sensitivity and specificity, stratified by method of serological testing (enzyme linked immunosorbent assays (ELISAs), lateral flow immunoassays (LFIAs), or chemiluminescent immunoassays (CLIAs)) and immunoglobulin class (IgG, IgM, or both) Sensitivity analysis is one way to explore heterogeneity in a meta-analysis and is often used in Cochrane reviews. Simply put, one or more studies are removed from the meta- analysis to examine the effect removal of the study or studies has on the pooled intervention effect. 2 Meta-Analysis of Diagnostic Accuracy with mada like xed and random e ects models (for exampleBorenstein, Hedges, Higgins, and Rothstein 2009) and ideas behind diagnostic accuracy meta-analysis and (S)ROC curves (starting point Sensitivity is concerned with how well a radiographer correctly reports a radiograph as being abnormal and specificity is the correct reporting of a radiograph as being normal. In our original meta-analysis, we simply pooled sensitivity and specificity separately using standard methods for proportions [ 9 ]

Methods R package meta is used to conduct standard meta-analysis. Sensitivity analyses for missing binary outcome data and potential selection bias are conducted with R package metasens. All essential R commands are provided and clearly described to conduct and report analyses Sensitivity analysis: User-specified values for heterogeneity parameters tau2 and I2 Meta-analysis summary. Standard meta-analysis Forest plots Subgroup meta-analysis One grouping variable Multiple grouping variables Subgroup forest plot

This brings us to the discussion of sensitivity versus specificity. In terms of a meta-analysis, sensitivity means that you get all of what you want. In other words, your search results include all of the articles that should be included in your meta-analysis; nothing is missing. Specificity means that you get none of what you don't want In this meta‐analysis, we analyzed the distribution of these temperature sensitivity traits from bacteria, fungi, and mixed communities across a variety of biological systems (e.g., soils, oceans, foods, wastewater treatment plants) in order to identify commonalities in temperature responses across these diverse organisms and reaction rates Meta-analysis. Introduction. Continuous measure. Correlation. Proportion. Relative risk. Risk difference. Odds ratio. Area under ROC curve Sensitivity analyses are important components of meta-analyses and should be widely encouraged. But is it helpful to assess sensitivity of heterogeneity measures to exclusion of studies, and is it sensible in particular to define a 'desired threshold' in terms of the I2 statistic, as these authors have done Pooled sensitivity from the meta-analysis was 99.3% for T21, 97.4% for T18 and 97.4% for T13, with pooled specificity 99.9% (99.9% to 100%) for all three trisomies. We estimated test accuracy in a high-risk population of 10 000 pregnancies where 3.3% of fetuses have Down syndrome,.

Meta-analysis, funnel plots and sensitivity analysi

Meta-analysis, funnel plots and sensitivity analysis

Sensitivity and Attachment: A Meta-Analysis on Parental Antecedents of Infant Attachment Marianne S. De Wolff and Marinus H. van IJzendoorn This meta-analysis included 66 studies (N = 4,176) on parental antecedents of attachment security. The ques In sum, the current study is a meta-analysis of morphosyntactic sensitivity and L1 influence during L2 SPR. There is sufficient primary evidence for such a meta-analysis, and existing results have not been consistent, possibly reflecting cross-study variation such as study design, processing issue, and linguistic feature, variables that can be submitted to systematic moderator analyses Sensitivity analysis allows him to determine what level of accuracy is necessary for a parameter to make the model sufficiently useful and valid. If the tests reveal that the model is insensitive, then it may be possible to use an estimate rather than a value with greater precision. Sensitivity analysis can also indicate which parameter values ar meta-analysis sensitivity-analysis publication-bias funnel-plot. Share. Cite. Improve this question. Follow edited May 15 '18 at 16:46. gung - Reinstate Monica. 128k 77 77 gold badges 334 334 silver badges 627 627 bronze badges. asked Jun 5 '15 at 19:14. chabeck chabeck This meta-analysis included 66 studies (N= 4, 176) on parental antecedents of attachment security.The question addressed was whether maternal sensitivity is associated with infant attachment security, and what the strength of this relation is

The meta-analysis showed a high variability of sensitivity among bee species (R from 0.001 to 2085.7), however, in approximately 95 % of the cases the sensitivity ratio was below 10. The effect of pesticides in domestic and wild bees is dependent on the intrinsic sensitivity of single bee species as well as their specific life cycle, nesting activity and foraging behaviour In corporate finance, sensitivity analysis refers to an analysis of how sensitive the result of a capital budgeting technique is to a variable, say discount rate, while keeping other variables constant.. Sensitivity analysis is useful because it tells the model user how dependent the output value is on each input

Deterministic sensitivity analysis (for example 95% confidence interval for efficacy from a source trial or meta-analysis). In univariate sensitivity analysis one parameter is varied at a time, whilst in multivariate sensitivity analysis more than one parameter is varied simultaneously Meta-analysis according to the studied population groups For meta-analysis, the prevalence rates of spider mite sensitization were pooled using the random effects model [ 11 ]. Heterogeneity was calculated via Cochran's Q and τ 2 tests, and inconsistency is presented as I 2 , which describes the percentage of variability that is due to heterogeneity rather than chance [ 11 ] Sensitivity analysis in excel increases your understanding of the financial and operating behavior of the business. As we learned from the three approaches - One Dimensional Data Tables, Two Dimensional Data Tables, and Goal Seek that sensitivity analysis is extremely useful in the finance field,. Mindfulness-based interventions (MBIs) are being integrated into university stress-reduction programmes globally. We conducted a comprehensive systematic review and meta-analysis of randomised controlled trials (RCTs) assessing MBI effects on university students' mental and physical health. Method A meta-analysis was undertaken where there were two or more independent studies from different cohorts reporting on a particular outcome of interest. To estimate the strength of associations between preoperative high-sensitivity troponin and outcomes, unadjusted data were pooled and risk ratios (RRs) with 95 per cent confidence intervals were calculated

We summarize: Consider presenting a summary point when sensitivity and specificity do not vary widely across studies and studies use... To obtain a summary sensitivity and specificity use the theoretically motivated bivariate meta-analysis models. Back-calculate overall positive and negative. What-If Calculation: Calculations for testing a financial model using different assumptions and scenarios. What-if`calculations enable the forecaster to check the variance in end results for a. Meaning This network meta-analysis suggests that abiraterone acetate and apalutamide may provide the largest and most consistent overall survival benefits with relatively low serious adverse event risks among metastatic castration-sensitive prostate cancer treatments Network meta-analysis of randomized controlled trials is increasingly used to combine both direct evidence comparing treatments within trials and indirect evidence comparing treatments across different trials. T1 - Sensitivity to excluding treatments in network meta-analysis. AU - Lin, Lifeng. AU - Chu, Haitao Sensitivity Analysis. The results of the sensitivity analysis (Fig 5) were similar to those of the primary analysis. The pooled sensitivity of chest CT for the studies with repeated RT-PCR as the reference standard was 95% (95% CI: 88%, 96%; I 2 = 87%)

We have not carried out a corresponding meta-analysis to determine the number of misses that NICE guidelines might have compared to the calculator. Given the broad recommendations for antibiotic use in the NICE guidelines, this was felt unlikely to be beneficial. This study evaluates the sensitivity of the calculator compared to NICE guidelines Meta-analysis is a statistical procedure that integrates the results of several independent studies considered to be combinable.1 Well conducted meta-analyses allow a more objective appraisal of the evidence than traditional narrative reviews, provide a more precise estimate of a treatment effect, and may explain heterogeneity between the results of individual studies.2 Ill conducted.

meta_sensitivity: Sensitivity Analysis for Bayesian Meta

The values of the pooled sensitivity, specificity, and DOR in this updated meta-analysis are similar to those found by Niu et al. (0.81, 0.77, and 14, respectively) A bivariate meta-analysis of sensitivity and specificity: accuracy of maternal serum human choriongonadotrophin (MShCG) determination in the prediction of pre-eclampsia; A generalized latent variable modelling framework for the bivariate analysis of sensitivity and specificity in diagnostic review A meta-analysis of the relation of intolerance of uncertainty to symptoms of generalized anxiety disorder, major depressive disorder, and obsessive-compulsive disorder. Clinical Psychology Review, 31 (2011), pp. 923-933, 10.1016/j.cpr.2011.05.001 This meta-analysis summarized the accuracy of PCR for the diagnosis of SPT from 50 studies and described the effects of study design and PCR characteristics on diagnostic accuracy for the first time. Sensitivity estimates were more variable and frequently lower than the specificity

Sensitivity of between-study heterogeneity in meta

  1. Recent research reported that the sensitivity of computed tomography in diagnosing COVID-19 is 98% while RT-PCR sensitivity is 71%. Herein, we compare the sensitivity of both chest CT and RT-PCR in diagnosing COVID-19 at initial patient presentation through a meta-analysis study
  2. Bivariate meta-analysis of likelihood ratios and predictive values are alternatives to bivariate meta-analysis of sensitivity and specificity but have been noted to face additional challenges.20, 21 Therefore, only methods for summarising sensitivities and specificities are illustrated in this paper
  3. This meta-analysis shows that in different patient populations with acute respiratory pathology, lung auscultation has a low sensitivity, LR + and AUC and an acceptable specificity and LR−
  4. Meta-analysis of the ozone sensitivity data showed a wide inter-specific range in response to ozone. Some relationships in comparison to plant physiological and ecological characteristics were identified. Plants of the therophyte lifeform were particularly sensitive to ozone
  5. Dr Jack Bowden gives us a brief overview of meta-analysis. What is it, and how does it help scientists to assess and combine evidence from many different stu..

In the present meta-analysis the overall sensitivity of the saliva (index) test is assessed by comparison with the NPS (reference standard) test using patient-based pooled data. This simple comparison does not allow us to address any of the more complex questions that arise from the widely varying presentation of different COVID-19 patients Use Sensitivity Analysis to evaluate how the parameters and states of a Simulink ® model influence the model output or model design requirements. You can evaluate your model in the Sensitivity Analyzer, or at the command line.You can speed up the evaluation using parallel computing or fast restart The meta-analysis by Arvanitis and colleagues in 2014 included data from 25 published studies reporting PCR performance in the blood or serum. Meta-analysis showed a mean sensitivity of 0.84 (95% CI, 0.75-0.91) and the corresponding mean specificity of 0.76 (95% CI, 0.65-0.84) Meta-analysis is a statistical technique for combining the findings from independent studies. Meta-analysis is most often used to assess the clinical effectiveness of healthcare interventions; it does this by combining data from two or more randomised control trials on the stage-specific sensitivity of FITs. METHODS: We screened PubMed, Web of Science, Embase, and the Cochrane Library from inception to June 14, 2019, for English-language articles reporting on the stage-specific sensitivity of FIT for CRC detection using colonoscopy as a reference standard. Studies reporting stage-specific sensitivities and the specificity of FIT for CRC detection were.

Cnossen J, van der Post J, Mol B, Khan K, ter Riet G. A bivariate meta-analysis of sensitivity and specificity: accuracy of maternal serum human choriongonadotrophin (MShCG) determination in the prediction of pre-eclampsia BACKGROUND Vitamin D has been suggested to affect peripheral insulin sensitivity. Evidence regarding the effect of vitamin D supplementation on insulin sensitivity is still conflicting. PURPOSE This meta-analysis aimed to assess the effect of vitamin D supplementation on insulin sensitivity in humans with or at risk for insulin resistance The Meta-analysis short course for health professionals is designed to provide an overview of different meta-analysis methods and common problems encountered with extracting data. Basic and advanced methods which can be used to combine data from various study types will be covered using Stata software Value of high-sensitivity C-reactive protein assays in predicting atrial fibrillation recurrence: a systematic review and meta-analysis Chia-Hung Yo,1 Si-Huei Lee,2 Shy-Shin Chang,3,4 Matthew Chien-Hung Lee,5 Chien-Chang Lee6,7,8 To cite: Yo C-H, Lee S-H

Three studies reported median times of initiation of ART of 8, 14, and 26 months. Screening of tuberculosis before initiation of ART might also have lowered the sensitivity of the screening rule. A previous meta-analysis reported a low sensitivity of the four-symptom screening rule in participants who had been previously screened for tuberculosis meta-analysis about the relationship between n-3 PUFA and insulin sensitivity [16], which reported that n-3 PUFA had no effects on insulin sensitivity. However there have been new RCTs published after this meta-analysis above. Therefore, we conducted a comprehen-sive and updated meta-analysis to systematically examin Funnel plots of slope estimates plotted against the inverse of standard errors (SE) obtained (a) over time (days year −1) and (b) with respect to temperature (day °C −1).Vertical lines represent the average effect size (solid) for the slope of spring migration timing and the associated lower and upper 95% CIs (dashed), as estimated using a mixed model meta-analysis that included phylogeny. Meta‐analysis of multiple outcomes by regression with random effects. Statistics in Medicine 17: 2537-2550. Additional resources. Learn more about Stata's meta-analysis features. Read more about meta-analysis in the Stata Meta-Analysis Reference Manual. See Tour of meta-analysis commands in [META] meta. View all the new feature This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows.

Citation: Lionetti E, Pulvirenti A, Vallorani M, Catassi G, Verma AK, Gatti S and Catassi C (2017) Re-challenge Studies in Non-celiac Gluten Sensitivity: A Systematic Review and Meta-Analysis. Front. Physiol . 8:621. doi: 10.3389/fphys.2017.0062 PURPOSE Cinnamon has been studied in randomized controlled trials (RCTs) for its glycemic-lowering effects, but studies have been small and show conflicting results. A prior meta-analysis did not show significant results, but several RCTs have been published since then. We conducted an updated systematic review and meta-analysis of RCTs evaluating cinnamon's effect on glycemia and lipid levels Sensitivity Analysis Although the meta-analysis is very powerful, it is not without problems. The file drawer problem is known as a publication bias. Nonsignificant findings are less likely to be submitted and accepted for publication. So the published findings are more likely to be significant than unpublished findings. In thi For the diagnosis markers that were studied more than twice, we used the HSROC model and meta-analysis approach for the sensitivity and specificity correlation analysis. The results suggested that almost all of the pooled sensitivities of the diagnosis markers were less than 50% and followed by significant heterogeneity

Sensitivity Analysis - an overview ScienceDirect Topic

Sensitivity analysis can indicate how the results of the meta-analysis would change if one study were excluded from the analysis. If properly conducted and clearly documented, meta-analyses often make significant contributions to a specific field of study and therefore stand a good chance of being published in a top-tier journal About performing sensitivity analysis One goal of a housing suitability model might be to identify the most desired locations to build a house based on specified criteria. In the following housing suitability model, sensitivity analysis was used to explore how the output housing preference locations changed with slight variations in the input criteria parameters Regarding orthopaedic special tests (OSTs) where meta-analysis was not possible either due to lack of sufficient studies or heterogeneity between studies, the list that demonstrates both high sensitivity and high specificity is short: hornblowers's sign and the external rotation lag sign for tears of the rotator cuff, biceps load II for superior labral anterior to posterior (SLAP) lesions.

Chapter 10: Analysing data and undertaking meta-analyses

The first sensitivity analysis looked at studies at low risk of bias for all categories of QUADAS-2, and included only three studies for the Ankle and the Midfoot Rules22, 48, 77 and six studies for Ankle/Midfoot Rules.20, 41, 45, 50, 58, 66 The second sensitivity analysis looked at studies in which the entire sample was assessed using medical imaging as the reference standard, and included 25. (1995) meta-analysis of results from 88 attitude-behavior relation-ship studies yielded an average predictive validity effect size estimate of r.38. Research on attitude-behavior relations in the 1970s and 1980s established two methods that reliably produced at least moderate effect sizes for attitude-behavior correlations. The first was A meta-analysis of the relation of intolerance of uncertainty to symptoms of generalized anxiety disorder, major depressive disorder, and obsessive-compulsive disorder. Clinical Psychology Review, 31, 923 - 933 Respiratory syncytial virus (RSV) rapid antigen detection tests (RADT) are extensively used in clinical laboratories. We performed a systematic review and meta-analysis to evaluate the accuracy of RADTs for diagnosis of RSV infection and to determine factors associated with accuracy estimates. We searched EMBASE and PubMed for diagnostic-accuracy studies of commercialized RSV RADTs Objectives Our aim was to conduct a meta-analysis on the reliability and consistency of SARS-CoV-2 viral RNA detection in saliva specimens. Methods We reported our meta-analysis according to the Cochrane Handbook. We searched the Cochrane Library, Embase, Pubmed, Scopus, Web of Science and clinical trial registries for eligible studies published between 1 January and 25 April 2020

Sensitivity analysis - Wikipedi

Sensitivity Analysis: Meaning, Uses, Methods of measuremen

Diagnosing Acute Cholecystitis | Radiology Report

Surrogate measures of insulin sensitivity vs the hyperinsulinaemic-euglycaemic clamp: a meta-analysis. Are there not some surrogate indexes lost in this story? Reply to Bastard JP, Rabasa-Lhoret R, Laville M and Disse E [letter]. / Otten, Julia; Ahrén, Bo; Olsson, Tommy. I: Diabetologia, Vol. 58, Nr. 2, 2015, s. 416-417 His principal interests are coping with missing data in complex hierarchical models, sensitivity analysis and meta-analysis, with applications to medical and social data. The collaboration that led to this book began during a sabbatical at Freiburg in 2005-6 Systematic review and meta-analysis. Data s Ources Medline, bioRxiv, and medRxiv from 1 January to 30 April 2020, using subject headings or subheadings combined with text words for the concepts of covid-19 and serological tests for covid-19. eligibility criteria anD Data analysis Eligible studies measured sensitivity or specificity

Accuracy of single progesterone test to predict early

Diagnostic accuracy of eFAST in the trauma patient: a

Objectives To determine the diagnostic accuracy of the Whooley questions in the identification of depression; and, to examine the effect of an additional 'help' question. Design Systematic review with random effects bivariate diagnostic meta-analysis. Search strategies included electronic databases, examination of reference lists, and forward citation searches Impact of Genetic ariation on Sensitivity to Opioid Analgesics Table 1. Characteristics of the studies included in the meta-analysis. No. Author (year) Male/ Female Age (years) Setting Hardy- Weinberg Variant Opioid administered Clinical adverse events (no.) 1 Sia et al. (2008) (6) 0/585 32.5 (4.7) Post cesarean analgesia No OPRM1 A118G. Fast and easy meta-analysis software. Research synthesis, systematic review for finding effect size, creating forest plots, and much more. Free trial

meta analysis - Metafor package: bias and sensitivity

Objective To systematically review and estimate pooled sensitivity and specificity of the polymerase chain reaction (PCR) technique compared to recommended reference tests in the diagnosis of suspected syphilis at various stages and in various biological materials. Design Systematic review and meta-analysis. Data sources Search of three electronic bibliographic databases from January 1990 to. Diabetic peripheral neuropathy (DPN), the most common chronic complication of diabetes, has become an important public health crisis worldwide. Given that DPN is extremely difficult to treat, determining its risk factors and controlling it at an early stage is critical to preventing its serious consequences and the burden of social disease The first clear and official use of the term 'meta-analysis' only dates back to the 1970s, when statistician Gene Glass came up with it in his call for improved ways to sum up the results of a field of studies.. In practice, however, researchers have been pooling data from different experiments and studies for more than a century, if not longer Meta-Analysis of Proportions Introduction This module performs a meta- analysis of a set of two-group, binary-event studies. These studies have a treatment group (arm) and a control group. The results of each study may be summarized as counts in a 2-by-2 table. Th In order to complete pooling of data through a meta-analysis, the raw 2×2 data are required.28 Of the included studies, five had incomplete data to allow for this.11, 21, 29-31 All five were contacted, two responded and provided the raw data,30, 31 one responded but advised that they no longer had the data,21 and two failed to respond.11, 29 Sensitivity, specificity and likelihood ratios.

Overview of Sensitivity Analysis - What is Sensitivity

The meta-analysis is dominated by the large GISSI-12 and ISIS-23 trials which contribute 76·2% of the weight in this analysis. If required, the text showing the weights or treatment effects may be omitted from the graph (options nowt and nostats , respectively). The metan command will perform all the commonly used fixed effects (inverse. Another study was excluded from the meta-analysis because it included women that were RDT positive and matched negative women . The summary estimates of the five included studies in the meta-analysis for sensitivity and specificity were 54% [40-67 CI] and 97% [95-98 CI], respectively (Table 1 and Figure 8)

Second-Trimester Ultrasound to Detect Fetuses With Down

Meta-analysis is here to stay as an invaluable tool for research, and is rapidly gaining momentum as a stand-alone discipline, with practitioners straddling the divide between statisticians and librarians. Provided that the disadvantages are taken into account, the benefits of meta-analysis are too obvious to ignore The difference between oats and beta-glucan extract intake in the management of HbA1c, fasting glucose and insulin sensitivity: a meta-analysis of randomized controlled trials L. He, J. Zhao, Y. Huang and Y. Li, Food Funct., 2016, 7, 1413. BACKGROUND AND OBJECTIVES: Preterm birth is a significant stressor for parents and may adversely impact maternal parenting behavior. However, findings have been inconsistent. The objective of this meta-analysis was to determine whether mothers of preterm children behave differently (eg, less responsive or sensitive) in their interactions with their children after they are discharged from the. sensitivity analysis should be conducted, in the form of one or more analyses, targeting the same estimand (see A.5.2.). Figure 1: Aligning target of estimation, method of estimation, and sensitivity analysis, for a given trial objective Description. For a short overview of meta-analysis in MedCalc, see Meta-analysis: introduction.. For meta-analysis of studies with a continuous measure (comparison of means between treated cases and controls), MedCalc uses the Hedges g statistic as a formulation for the standardized mean difference under the fixed effects model. Next the heterogeneity statistic is incorporated to calculate the. The authors performed a meta-analysis to better quantify the benefit of maintenance poly(ADP-ribose) polymerase inhibitor (PARPi) therapy to inform practice in platinum-sensitive, recurrent, high-grade ovarian cancer for patient subsets with the following characteristics: germline BRCA mutation (gBRCAm), somatic BRCA mutation (sBRCAm), wild-type BRCA but homologous recombinant-deficient (HRD.

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