Sifting the evidence-what's wrong with significance tests?
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Why most published research findings are falseSystematic review and network meta-analysis of interventions for fibromyalgia: a protocolVariation in the gene coding for the M5 muscarinic receptor (CHRM5) influences cigarette dose but is not associated with dependence to drugs of addiction: evidence from a prospective population based cohort study of young adultsVitamin D and multiple health outcomes: umbrella review of systematic reviews and meta-analyses of observational studies and randomised trialsPrimary prevention for alcohol misuse in young peopleThe extent and consequences of p-hacking in scienceDiverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factorsPlacing epidemiological results in the context of multiplicity and typical correlations of exposuresSafe oxygen saturation targeting and monitoring in preterm infants: can we avoid hypoxia and hyperoxia?An investigation of the false discovery rate and the misinterpretation of p-valuesPotential increased risk of cancer from commonly used medications: an umbrella review of meta-analysesA combined pre-clinical meta-analysis and randomized confirmatory trial approach to improve data validity for therapeutic target validationThe ASA's statement on p-values: context, process, and purposeEpigenome-wide Association Studies and the Interpretation of Disease -OmicsSystematic review with meta-analysis: direct comparisons of biomarkers for the diagnosis of fibrosis in chronic hepatitis C and BImportant statistical points to improve and promote the methodology of the articles on medical sciences, particularly nephrology and kidney; a review articleIncentivising reproducible researchStatistical tests, P values, confidence intervals, and power: a guide to misinterpretationsLong term anticoagulation or antiplatelet treatment. Only warfarin has been shown to reduce stroke risk in patients with atrial fibrillation.Design, power, and interpretation of studies in the standard murine model of ALSA manifesto for reproducible scienceApplications of statistical tests in hand surgerySchool travel mode, parenting practices and physical activity among UK Year 5 and 6 childrenClustered environments and randomized genes: a fundamental distinction between conventional and genetic epidemiologyAssessing the probability that a positive report is false: an approach for molecular epidemiology studiesThe Impact of Heat on an Emergency Department in Italy: Attributable Visits among Children, Adults, and the Elderly during the Warm Season.Adiposity and cancer at major anatomical sites: umbrella review of the literatureStatistical inference in abstracts of major medical and epidemiology journals 1975-2014: a systematic review.Cautionary tales in the interpretation of observational studies of effects of clinical interventions.Belief beyond the evidence: using the proposed effect of breakfast on obesity to show 2 practices that distort scientific evidenceEnvironment and health in contaminated sites: the case of Taranto, Italy.Counselling for Alcohol Problems (CAP), a lay counsellor-delivered brief psychological treatment for harmful drinking in men, in primary care in India: a randomised controlled trial.Adherence to antiretroviral therapy in young children in Cape Town, South Africa, measured by medication return and caregiver self-report: a prospective cohort study.Effects of ground and joint reaction force exercise on lumbar spine and femoral neck bone mineral density in postmenopausal women: a meta-analysis of randomized controlled trials.Listen to the data when results are not significantEnsuring trial validity by data quality assurance and diversification of monitoring methods.The statistical analysis of immunohaematological data.Social correlates of cigarette smoking among Icelandic adolescents: a population-based cross-sectional study.Why are clinicians not embracing the results from pivotal clinical trials in severe sepsis? A bayesian analysis.Evidence synthesis as the key to more coherent and efficient research.
P2860
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P2860
Sifting the evidence-what's wrong with significance tests?
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2001 nî lūn-bûn
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2001 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2001年の論文
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2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
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2001年论文
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Sifting the evidence-what's wrong with significance tests?
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Sifting the evidence-what's wrong with significance tests?
@en
Sifting the evidence-what's wrong with significance tests?
@en-gb
Sifting the evidence-what's wrong with significance tests?
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Sifting the evidence-what's wrong with significance tests?
@ast
Sifting the evidence-what's wrong with significance tests?
@en
Sifting the evidence-what's wrong with significance tests?
@en-gb
Sifting the evidence-what's wrong with significance tests?
@nl
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Sifting the evidence-what's wrong with significance tests?
@ast
Sifting the evidence-what's wrong with significance tests?
@en
Sifting the evidence-what's wrong with significance tests?
@en-gb
Sifting the evidence-what's wrong with significance tests?
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P2860
P3181
P356
P1433
P1476
Sifting the evidence-what's wrong with significance tests?
@en
P2093
J A Sterne
P2860
P304
P3181
P356
10.1136/BMJ.322.7280.226
P407
P577
2001-01-01T00:00:00Z