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Odds Ratio

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1. Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value - ERRATUM. (Full text)

Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value - ERRATUM. 31068235 2020 03 10 2056-4724 5 2 2019 03 BJPsych open BJPsych Open Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value - ERRATUM. e24 10.1192/bjo.2019.15 McHugh Catherine M CM Corderoy Amy A Ryan Christopher James CJ Hickie Ian B IB Large Matthew Michael MM eng

2020 BJPsych open PubMed abstract

2. Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value. (Full text)

Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value. The expression of suicidal ideation is considered to be an important warning sign for suicide. However, the predictive properties of suicidal ideation as a test of later suicide are unclear.AimsTo assess the strength of the association between suicidal ideation and later suicide measured by odds ratio (OR), sensitivity, specificity and positive predictive (...)  = 71, OR = 3.41, 95% CI 2.59-4.49, 95% prediction interval 0.42-28.1, I2 = 89.4, Q-value = 661, d.f.(Q) = 70, P ≤0.001). Studies conducted in primary care and other non-psychiatric settings had similar pooled odds to studies of current and former psychiatric patients (OR = 3.86 v. OR = 3.23, P = 0.7). The pooled sensitivity of suicidal ideation for later suicide was 41% (95% CI 35-48) and the pooled specificity was 86% (95% CI 76-92), with high between-study heterogeneity. Studies of suicidal

2020 BJPsych open PubMed abstract

3. Empirical comparison of approaches for odds ratios to risk ratio transformations in meta-analyses of randomized controlled trials with common outcomes. (Abstract)

Empirical comparison of approaches for odds ratios to risk ratio transformations in meta-analyses of randomized controlled trials with common outcomes. 32265076 2020 04 08 1873-2585 2020 Mar 26 Annals of epidemiology Ann Epidemiol Empirical comparison of approaches for odds ratios to risk ratio transformations in meta-analyses of randomized controlled trials with common outcomes. S1047-2797(20)30136-8 10.1016/j.annepidem.2020.03.005 Chu Tzu-Chun TC Center for Statistical Sciences, Brown (...) Epidemiol 9100013 1047-2797 IM Meta-analysis Odds ratios Overestimation Randomized control trials Risk ratios 2019 10 25 2020 02 27 2020 03 03 2020 4 9 6 0 2020 4 9 6 0 2020 4 9 6 0 aheadofprint 32265076 S1047-2797(20)30136-8 10.1016/j.annepidem.2020.03.005

2020 Annals of Epidemiology

4. Reply: On the Use of Odds Ratios Versus Hazard Ratios, Meta-Regression, and Heterogeneity in Meta-Analyses. (Full text)

Reply: On the Use of Odds Ratios Versus Hazard Ratios, Meta-Regression, and Heterogeneity in Meta-Analyses. 30012330 2019 08 21 2019 08 21 1558-3597 72 3 2018 07 17 Journal of the American College of Cardiology J. Am. Coll. Cardiol. Reply: On the Use of Odds Ratios Versus Hazard Ratios, Meta-Regression, and Heterogeneity in Meta-Analyses. 347 S0735-1097(18)34855-1 10.1016/j.jacc.2018.05.018 Smart Neil A NA Dieberg Gudrun G King Nicola N eng Letter Comment 2018 07 09 United States J Am Coll (...) Cardiol 8301365 0735-1097 J Am Coll Cardiol. 2018 Mar 6;71(9):983-991 29495998 J Am Coll Cardiol. 2018 Jul 17;72(3):344 30012328 J Am Coll Cardiol. 2018 Jul 17;72(3):345-347 30012329 Coronary Artery Bypass, Off-Pump Odds Ratio Proportional Hazards Models 2018 04 30 2018 05 13 2018 7 18 6 0 2018 7 18 6 0 2019 8 23 6 0 ppublish 30012330 S0735-1097(18)34855-1 10.1016/j.jacc.2018.05.018

2019 Journal of the American College of Cardiology PubMed abstract

5. Methods for estimating between-study variance and overall effect in meta-analysis of odds ratios. (Full text)

Methods for estimating between-study variance and overall effect in meta-analysis of odds ratios. In random-effects meta-analysis the between-study variance ( τ2 ) has a key role in assessing heterogeneity of study-level estimates and combining them to estimate an overall effect. For odds ratios the most common methods suffer from bias in estimating τ2 and the overall effect and produce confidence intervals with below-nominal coverage. An improved approximation to the moments of Cochran's Q (...) statistic, suggested by Kulinskaya and Dollinger (KD), yields new point and interval estimators of τ2 and of the overall log-odds-ratio. Another, simpler approach (SSW) uses weights based only on study-level sample sizes to estimate the overall effect. In extensive simulations we compare our proposed estimators with established point and interval estimators for τ2 and point and interval estimators for the overall log-odds-ratio (including the Hartung-Knapp-Sidik-Jonkman interval). Additional simulations

2020 Research synthesis methods PubMed abstract

6. Odds ratio of programmed cell death-1 or ligand 1 inhibitor-related endocrine dysfunction in patients with lung cancer: A systematic review and meta-analysis. (Full text)

Odds ratio of programmed cell death-1 or ligand 1 inhibitor-related endocrine dysfunction in patients with lung cancer: A systematic review and meta-analysis. We designed the study to investigate the incidence risk of Programmed Cell Death-1 (PD-1) or Ligand 1 (PD-L1) inhibitor-related endocrine dysfunction in patients with lung cancer.All the data were collected by 1 primary reviewer and then independently reviewed by 2 secondary reviewers according to Preferred Reporting Items for Systematic

2020 Medicine PubMed abstract

7. Comments on 'Likelihood ratio and score tests to test the non-inferiority (or equivalence) of the odds ratio in a crossover study with binary outcomes'. (Abstract)

Comments on 'Likelihood ratio and score tests to test the non-inferiority (or equivalence) of the odds ratio in a crossover study with binary outcomes'. 27917554 2018 05 17 2018 12 02 1097-0258 36 1 2017 01 15 Statistics in medicine Stat Med Comments on 'Likelihood ratio and score tests to test the non-inferiority (or equivalence) of the odds ratio in a crossover study with binary outcomes'. 197-198 10.1002/sim.7086 Lui Kung-Jong KJ Department of Mathematics and Statistics, San Diego State (...) University, 5500 Campanile Drive, San Diego, CA, 92182-7720, U.S.A. eng Letter Comment England Stat Med 8215016 0277-6715 IM Stat Med. 2016 Sep 10;35(20):3471-81 27095359 Cross-Over Studies Humans Odds Ratio Sample Size Therapeutic Equivalency 2016 06 28 2016 07 26 2016 08 03 2016 12 6 6 0 2016 12 6 6 0 2018 5 18 6 0 ppublish 27917554 10.1002/sim.7086

2018 Statistics in medicine Controlled trial quality: uncertain

8. On the Reporting of Odds Ratios and Risk Ratios (Full text)

On the Reporting of Odds Ratios and Risk Ratios 30332734 2018 11 14 2072-6643 10 10 2018 Oct 16 Nutrients Nutrients On the Reporting of Odds Ratios and Risk Ratios. E1512 10.3390/nu10101512 Pace Nelson D ND Center for Health Sciences, Exponent, Inc., Oakland, CA 94612, USA. npace@exponent.com. Multani Jasjit K JK 0000-0002-7886-6088 Center for Chemical Regulation and Food Safety, Exponent, Inc., Washington, DC 20036, USA. jmultani@exponent.com. eng Letter 2018 10 16 Switzerland Nutrients (...) 101521595 2072-6643 epidemiology logistic regression odds ratio relative risk risk ratio statistics 2018 09 27 2018 10 12 2018 10 19 6 0 2018 10 20 6 0 2018 10 20 6 0 epublish 30332734 nu10101512 10.3390/nu10101512 PMC6213310 J Natl Cancer Inst. 1951 Jun;11(6):1269-75 14861651 Am J Epidemiol. 2004 Apr 1;159(7):702-6 15033648 Nutrients. 2018 Aug 17;10(8):null 30126155 Am J Epidemiol. 1982 Sep;116(3):547-53 7124721 BMJ. 1998 Mar 28;316(7136):989-91 9550961 Am J Epidemiol. 2008 Nov 1;168(9):1073-81

2018 Nutrients PubMed abstract

9. How to correct the odds ratio for lack of sensitivity and specificity. (Abstract)

How to correct the odds ratio for lack of sensitivity and specificity. This commentary explains and exemplifies a method to estimate the Odds Ratio-OR with a correction for possible errors in diagnosis. This procedure allows reassessing hypotheses of association between health outcomes and exposures when the database entails lack of accuracy, and the estimates of sensitivity and specificity of the diagnostic tool are available. Misclassification is not uncommon in dental public health research

2019 Community Dentistry and Oral Epidemiology

10. Corrigendum to "Studies reporting ROC curves of diagnostic and prediction data were incorporated into meta-analyses using corresponding odds ratios" [J Clin Epidemiol. 2007 May;60(5):530-4]. (Full text)

Corrigendum to "Studies reporting ROC curves of diagnostic and prediction data were incorporated into meta-analyses using corresponding odds ratios" [J Clin Epidemiol. 2007 May;60(5):530-4]. 30902350 2019 11 20 1878-5921 108 2019 Apr Journal of clinical epidemiology J Clin Epidemiol Corrigendum to "Studies reporting ROC curves of diagnostic and prediction data were incorporated into meta-analyses using corresponding odds ratios" [J Clin Epidemiol. 2007 May;60(5):530-4]. 147 S0895-4356(19)30128

2019 Journal of Clinical Epidemiology PubMed abstract

11. What is an Odds Ratio? What does it mean? (Full text)

What is an Odds Ratio? What does it mean? What is an Odds Ratio? What does it mean? | Evidence-Based Nursing We use cookies to improve our service and to tailor our content and advertising to you. You can manage your cookie settings via your browser at any time. To learn more about how we use cookies, please see our . Log in using your username and password For personal accounts OR managers of institutional accounts Username * Password * your user name or password? Search for this keyword (...) Search for this keyword Main menu Log in using your username and password For personal accounts OR managers of institutional accounts Username * Password * your user name or password? You are here What is an Odds Ratio? What does it mean? Article Text Research made simple What is an Odds Ratio? What does it mean? Free Allison Shorten , Brett Shorten Statistics from Altmetric.com When we read the results of healthcare research, we often read about relationships or associations between different

2015 Evidence-Based Nursing PubMed abstract

12. Odds Ratio or Prevalence Ratio? An Overview of Reported Statistical Methods and Appropriateness of Interpretations in Cross-sectional Studies with Dichotomous Outcomes in Veterinary Medicine (Full text)

Odds Ratio or Prevalence Ratio? An Overview of Reported Statistical Methods and Appropriateness of Interpretations in Cross-sectional Studies with Dichotomous Outcomes in Veterinary Medicine One of the most commonly observational study designs employed in veterinary is the cross-sectional study with binary outcomes. To measure an association with exposure, the use of prevalence ratios (PR) or odds ratios (OR) are possible. In human epidemiology, much has been discussed about the use (...) of the OR exclusively for case-control studies and some authors reported that there is no good justification for fitting logistic regression when the prevalence of the disease is high, in which OR overestimate the PR. Nonetheless, interpretation of OR is difficult since confusing between risk and odds can lead to incorrect quantitative interpretation of data such as "the risk is X times greater," commonly reported in studies that use OR. The aims of this study were (1) to review articles with cross-sectional

2017 Frontiers in veterinary science PubMed abstract

13. Statistical notes for clinical researchers: Risk difference, risk ratio, and odds ratio (Full text)

Statistical notes for clinical researchers: Risk difference, risk ratio, and odds ratio 28194368 2018 11 13 2234-7658 42 1 2017 Feb Restorative dentistry & endodontics Restor Dent Endod Statistical notes for clinical researchers: Risk difference, risk ratio, and odds ratio. 72-76 10.5395/rde.2017.42.1.72 Kim Hae-Young HY Department of Health Policy and Management, College of Health Science, and Department of Public Health Sciences, Graduate School, Korea University, Seoul, Korea. eng Journal

2017 Restorative dentistry & endodontics PubMed abstract

14. Comments on 'Test non-inferiority (and equivalence) based on the odds ratio under a simple crossover trial'. (Abstract)

Comments on 'Test non-inferiority (and equivalence) based on the odds ratio under a simple crossover trial'. 27264023 2018 04 23 2018 12 02 1097-0258 35 16 2016 07 20 Statistics in medicine Stat Med Comments on 'Test non-inferiority (and equivalence) based on the odds ratio under a simple crossover trial'. 2845-6 10.1002/sim.6855 Lui Kung-Jong KJ Department of Mathematics and Statistics, San Diego State University, San Diego, CA, 92182-7720, USA. eng Letter Comment England Stat Med 8215016 0277 (...) -6715 IM Stat Med. 2011 May 20;30(11):1230-42 21538451 Cross-Over Studies Humans Odds Ratio Sample Size Therapeutic Equivalency 2015 09 28 2015 12 01 2016 6 7 6 0 2016 6 7 6 0 2018 4 24 6 0 ppublish 27264023 10.1002/sim.6855

2018 Statistics in medicine Controlled trial quality: uncertain

15. Evaluation on prognostic efficacy of lymph nodes ratio (LNR) and log odds of positive lymph nodes (LODDS) in complicated colon cancer: the first study in emergency surgery (Full text)

Evaluation on prognostic efficacy of lymph nodes ratio (LNR) and log odds of positive lymph nodes (LODDS) in complicated colon cancer: the first study in emergency surgery Lymph node involvement is one of the most important prognostic factors in colon cancer. Twelve is considered the minimum number of lymph nodes necessary to retain reliable tumour staging, but several factors can potentially influence the lymph node harvesting. Emergent surgery for complicated colon cancer (perforation (...) , occlusion, bleeding) could represent an obstacle to reach the benchmark of 12 nodes with an accurate lymphadenectomy. So, an efficient classification system of lymphatic involvement is crucial to define the prognosis, the indication to adjuvant therapy and the follow-up. This is the first study with the aim to evaluate the efficacy of lymph nodes ratio (LNR) and log odds of positive lymph nodes (LODDS) in the prognostic assessment of patients who undergo to urgent surgery for complicated colonic

2018 World journal of surgical oncology PubMed abstract

16. Odds ratios from logistic, geometric, Poisson, and negative binomial regression models. (Full text)

Odds ratios from logistic, geometric, Poisson, and negative binomial regression models. The odds ratio (OR) is used as an important metric of comparison of two or more groups in many biomedical applications when the data measure the presence or absence of an event or represent the frequency of its occurrence. In the latter case, researchers often dichotomize the count data into binary form and apply the well-known logistic regression technique to estimate the OR. In the process of dichotomizing (...) the data, however, information is lost about the underlying counts which can reduce the precision of inferences on the OR.We propose analyzing the count data directly using regression models with the log odds link function. With this approach, the parameter estimates in the model have the exact same interpretation as in a logistic regression of the dichotomized data, yielding comparable estimates of the OR. We prove analytically, using the Fisher information matrix, that our approach produces more

2018 BMC Medical Research Methodology PubMed abstract

17. Mega-analysis of Odds Ratio: A Convergent Method for a Deep Understanding of the Genetic Evidence in Schizophrenia. (Abstract)

Mega-analysis of Odds Ratio: A Convergent Method for a Deep Understanding of the Genetic Evidence in Schizophrenia. Numerous high-throughput omics studies have been conducted in schizophrenia, providing an accumulated catalog of susceptible variants and genes. The results from these studies, however, are highly heterogeneous. The variants and genes nominated by different omics studies often have limited overlap with each other. There is thus a pressing need for integrative analysis to unify (...) the different types of data and provide a convergent view of schizophrenia candidate genes (SZgenes). In this study, we collected a comprehensive, multidimensional dataset, including 7819 brain-expressed genes. The data hosted genome-wide association evidence in genetics (eg, genotyping data, copy number variations, de novo mutations), epigenetics, transcriptomics, and literature mining. We developed a method named mega-analysis of odds ratio (MegaOR) to prioritize SZgenes. Application of MegaOR

2018 Schizophrenia bulletin

18. Why Odds Ratios Can Be Tricky Statistics: The Case of Finasteride, Dutasteride, and Sexual Dysfunction. (Full text)

Why Odds Ratios Can Be Tricky Statistics: The Case of Finasteride, Dutasteride, and Sexual Dysfunction. Finasteride and dutasteride are 5α-reductase inhibitor drugs that are used to treat benign prostatic hyperplasia (BPH). Randomized controlled trials (RCTs) conducted in men with BPH show that these drugs impair libido and cause erectile dysfunction. Meta-analyses of the RCTs confirm the findings, estimating odds ratio (OR) values for these adverse effects at around 1.50. A problem with meta (...) -analyses that do not report absolute risks with drug vs placebo and that extract ORs instead of relative risks (RRs) from RCT data is that it is hard for the reader to know how to interpret the findings and communicate them to patients. Had the RR been 1.50, the reader would conclude that the risk with drug is 50% higher than the risk with placebo; this is easily understood because the risk with placebo would be available from the RCTs. In contrast, an OR of 1.50 means that the odds with drug are 50

2018 Journal of Clinical Psychiatry PubMed abstract

19. A comparison of seven random‐effects models for meta‐analyses that estimate the summary odds ratio (Full text)

A comparison of seven random‐effects models for meta‐analyses that estimate the summary odds ratio Comparative trials that report binary outcome data are commonly pooled in systematic reviews and meta-analyses. This type of data can be presented as a series of 2-by-2 tables. The pooled odds ratio is often presented as the outcome of primary interest in the resulting meta-analysis. We examine the use of 7 models for random-effects meta-analyses that have been proposed for this purpose

2018 Statistics in medicine PubMed abstract

20. Odds ratios deconstructed: A new way to understand and explain odds ratios as conditional risk ratios. (Abstract)

Odds ratios deconstructed: A new way to understand and explain odds ratios as conditional risk ratios. The aim of this analysis was to provide an alternative derivation of the odds ratio (OR) to provide an intuitive meaning, freeing it from any mention of odds, which may make it a more useful concept for clinicians to use when describing treatment effect.By examining the four possible combinations of treatment/control and corresponding outcomes, we considered the conditional risk ratio (RR (...) that the OR comparing the effect of treatment vs. control does not have the same clinical interpretability as RR because it involves ratios of odds and so is difficult to explain in terms of patient numbers. This new derivation provides an interpretation of the OR as an RR but conditional on treatment and control resulting in different outcomes. This may help explain the reason ORs cause interpretation difficulties in practice. Moreover, the OR may be a more clinically useful parameter to patients because it deals

2016 Journal of Clinical Epidemiology

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