EBMcalc Statistics vs INTVL - Medical statistics Usage & Stats

EBMcalc Statistics EBMcalc is the most popular and comprehensive Medical Calculator system on the web. It has been highly acclaimed, reviewed and tested over the last 20 years. EBMcalc users should not make any medical decisions based on app content without seeking their doctor's advice. EBMcalc Statistics is your iPhone answer for evidence-based medical calculations and medical statistics. Here you will find essential EBM equations, statistics tools and a a full suite of dose and unit converters ready for use, right in the palm of your hand! EBMcalc makes the math of EBM simple! Equations included: Bayesian Statistics I MultiCalc Bayesian Statistics II MultiCalc Benefit Increase / Number Needed to Treat Multicalc Chi Square Analysis Confidence Interval of a Binomial Proportion Confidence Interval of a Difference Between Proportions Confidence Interval of a Ratio of Proportions Confidence Interval of a Ratio of Ratios Confidence Interval of a Survey COPE Statistic Adding Cost to Number Needed to Treat False Negative Rate from Sensitivity and Prevalence False Negative Ratio from Sensitivity and Prevalence False Positive Rate from Specificity and Prevalence False Positive Ratio from Specificity and Prevalence Kappa Measurement of Inter-observer Agreement MultiCalc Kappa Measurement of Inter-observer Agreement: Bennett's Kappa Kappa Measurement of Inter-observer Agreement: Cohen's Kappa Kappa Measurement of Inter-observer Agreement: Scott's Kappa Likelihood Ratio MultiCalc Likelihood Ratio of Negative from Raw Data Likelihood Ratio of Positive from Raw Data Negative Predictive Value from Raw Data Negative Predictive Value of a Test Number Needed to Harm (NNH) from Odds Ratio (OR) and Patient Expected Event Rate (PEER) Number Needed to Treat (NNT) from Odds Ratio (OR) and Patient Expected Event Rate (PEER) Odds from Probability Odds Ratio and Relative Risk Overall Accuracy of a Test from Raw Data Overall Accuracy of a Test from Sensitivity, Specificity and Prevalence Positive Predictive Value from Raw Data Positive Predictive Value of a Test Post Test Odds from Pre Test Odds and Likelihood Ratio MultiCalc Post Test Odds of a Negative from Raw Data Post Test Odds of a Negative Result from Sensitivity Specificity and Prevalence Post Test Odds of a Positive from Raw Data Post Test Odds of a Positive Result from Sensitivity Specificity and Prevalence Post Test Probability from Pre Test Probability, Sensitivity and Specificity Post-Test Probability from Likelihood Ratios and Multiple Test Results Pre Test Odds from Prevalence Pre Test Odds from Raw Data Prevalence of a Finding or Disease from Test Data Probability from Odds Risk Increase / Number Needed to Harm Multicalc Risk Reduction / Number Needed to Treat Multicalc Sensitivity of a Test Specificity of a Test Survey Sample Size with Population Correction Survey Sample Size True Negative Ratio from Specificity and Prevalence True Positive Ratio from Sensitivity and Prevalence Z Score to Percentile Estimation Some Unit and Dose converters include: Basic Units Corticosteroid Dosing Energy Unit Conversions Flow Unit Conversions Pressure Units SI Unit Conversions Standard Drink Equivalents Temperature Unit Conversions Thyroid Medication Dosing Time Units Volume Units Weight Units To practice, teach and learn medicine based on solid, literature based evidence, EBMcalc provides easy to use, interactive tools for your Evidence-Based Medicine.

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INTVL - Medical statistics

Whom does INTVL help? Doctors and health professionals INTVL is ideal for the medical field, covering some of the most widely used statistics and definitions in medicine and health research. Academics INTVL helps you deal with reporting bias in the academic literature by generating insightful statistics that are often not reported, in a flash. Use it to review other studies or for your own projects (some of our calculators and converters are not readily available in many renowned computer software). Scientists and researchers Its calculators are powerful and accurate enough to perform various scientific calculations and probably most research applications you can think of. Students and junior researchers Its friendly and informative UI makes it great to get a better understanding of core statistical and mathematical concepts and learn how to correctly interpret some of the most widely used statistics in applied research. What do you get with the paid version? Eleven statistical calculators and converters, with more on the way! - Confidence interval (CI) calculators for major statistics used in primary studies and meta-analyses. - Prediction interval (PI) generators for meta-analyses results. - P value to confidence interval converters. Top-of-the-line glossary based on authoritative sources, including over 200 interlinked definitions in various fields, including medicine, statistics, and mathematics. Free updates with new calculators, converters, definitions, and features. No in-app ads, not now, not ever. No data collection Key features - Easy to use - Fast - Accurate - Informative An edge in research CIs for proportions Unlike crude proportions, CIs offer information about the precision of the estimate and the population from which the sample was drawn. CIs for means Similar to proportions, crude means do not say anything about precision or the population and mental calculations of a CI using a standard deviation or standard error (if reported) may be inconvenient and will not be as precise as when using a calculator. P values to CIs Unlike a p value, a CI can be more than a simple indicator of statistical significance and give you clues about the precision of an estimate and family of alternatives in the short term or about the size and direction of the effect in the long run. PIs to assess heterogeneity in meta-analyses - The CI of a pooled effect estimate is like an average of averages and does not tell us how the true effect size varies across populations and, therefore, how much heterogeneity exists in a meta-analysis. - The p value for the Chi squared test only tells us if there is or is no significant heterogeneity; - The I squared statistic only tells us what percentage (%) of the variance we observe is due to heterogeneity; - The Tau and Tau squared statistics give us an indication in regard to the amount of heterogeneity present but may be very inconvenient to use in mental calculations. Compared to the above statistics, PIs can reveal the amount of heterogeneity more directly and, at the same time, tell us how significantly it impacts the estimation. Probably the best glossary in the world for statistical intervals We have reviewed some of the world's most authoritative sources to build a highly consistent vocabulary that includes well-defined inter-linked definitions.