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Lay health workers in primary and community health careRespiratory symptoms in relation to residential coal burning and environmental tobacco smoke among early adolescents in Wuhan, China: a cross-sectional studyPooling data for number needed to treat: no problems for applesAssessing subgroup effects with binary data: can the use of different effect measures lead to different conclusions?Issues in the selection of a summary statistic for meta-analysis of clinical trials with binary outcomesThe effect of low-molecular-weight heparin on cancer survival. A systematic review and meta-analysis of randomized trialsPotential misinterpretation of treatment effects due to use of odds ratios and logistic regression in randomized controlled trialsCan we individualize the 'number needed to treat'? An empirical study of summary effect measures in meta-analyses.Pressure ulcers.Complementary log-log regression for the estimation of covariate-adjusted prevalence ratios in the analysis of data from cross-sectional studies.Low molecular weight heparin for the treatment of retinal vein occlusion: a systematic review and meta-analysis of randomized trials.Preoperative inspiratory muscle training to prevent postoperative pulmonary complications in patients undergoing esophageal resection (PREPARE study): study protocol for a randomized controlled trial.Recent hospitalization for non-coronary events and use of preventive medications for coronary artery disease: an observational cohort studyMeta-analysis of randomised controlled trials of the effectiveness of antiarrhythmic agents at promoting sinus rhythm in patients with atrial fibrillationMedicaid enrollment policy increased smoking cessation among pregnant women but had no impact on birth outcomes.Excess risk of chronic physical conditions associated with depression and anxietyTraditional Chinese Medicines in the treatment of hepatocellular cancers: a systematic review and meta-analysis.Support for breastfeeding mothers: a systematic review.Visualizing Risk Prediction ModelsEffect sizes and statistical testing in the determination of clinical significance in behavioral medicine research.Against all odds? Improving the understanding of risk reporting.Pressure ulcers: treatment.Rank reversal in indirect comparisons.Insurance coverage for weight loss: overweight adults' views.Passenger seating position and the risk of passenger death in traffic crashes: a matched cohort study.How does physician BMI impact patient trust and perceived stigma?What's the Risk? A simple approach for estimating adjusted risk measures from nonlinear models including logistic regression.Effect of consistent condom use on 6-month prevalence of bacterial vaginosis varies by baseline BV status.Network meta-analysis of randomized clinical trials: reporting the proper summaries.Benefit-risk assessment of tumour necrosis factor antagonists in the treatment of psoriasis.Meta-analysis for orthodontists: Part I--How to choose effect measure and statistical model.Log Odds and the Interpretation of Logit Models.Evaluating mortality in intensive care units: contribution of competing risks analyses.Prediction of drug abuse recurrence: a Swedish National Study.Odds, risks, and other numbers needed to complicate things.Alternate approaches for assessing impacts of oil sands development on air quality: A case study using the First Nation Community of Fort McKay.The North-West Diabetes Foot Care Study: incidence of, and risk factors for, new diabetic foot ulceration in a community-based patient cohort.Selecting the best scale for measuring treatment effect in a network meta-analysis: a case study in childhood nocturnal enuresis.Understanding statistical analysis in the surgical literature: some key concepts.Self-harm in the UK: differences between South Asians and Whites in rates, characteristics, provision of service and repetition.
P2860
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P2860
description
1998 nî lūn-bûn
@nan
1998年の論文
@ja
1998年論文
@yue
1998年論文
@zh-hant
1998年論文
@zh-hk
1998年論文
@zh-mo
1998年論文
@zh-tw
1998年论文
@wuu
1998年论文
@zh
1998年论文
@zh-cn
name
Odds ratios should be avoided when events are common.
@en
Odds ratios should be avoided when events are common.
@nl
type
label
Odds ratios should be avoided when events are common.
@en
Odds ratios should be avoided when events are common.
@nl
prefLabel
Odds ratios should be avoided when events are common.
@en
Odds ratios should be avoided when events are common.
@nl
P1433
P1476
Odds ratios should be avoided when events are common.
@en
P2093
P2860
P356
10.1136/BMJ.317.7168.1318
P407
P577
1998-11-01T00:00:00Z