Descriptive Epidemiology Dr. KANUPRIYA CHATURVEDI

... Poisson probability distribution is an inferential statistics probability ...

... Poisson probability distribution is an inferential statistics probability ...

Waist to Hip Ratio

... What is Waist-to-Hip Ratio? Waist-to-Hip Ratio (WHR) looks at the proportion of fat stored on your body in the waist and hip areas. Most people store their body fat in two ways: around the middle (the apple shape) and around the hips (the pear shape). People who tend to gain weight mostly in their h ...

... What is Waist-to-Hip Ratio? Waist-to-Hip Ratio (WHR) looks at the proportion of fat stored on your body in the waist and hip areas. Most people store their body fat in two ways: around the middle (the apple shape) and around the hips (the pear shape). People who tend to gain weight mostly in their h ...

Epidemiology and Community Medicine (3)

... some common non-antineoplastic drugs may affect the course of cancer. The authors present two cases that appear to be consistent with such a possibility: that of a 63-year-old woman in whom a high-grade angiosarcoma of the forehead improved after discontinuation of lithium therapy and then progresse ...

... some common non-antineoplastic drugs may affect the course of cancer. The authors present two cases that appear to be consistent with such a possibility: that of a 63-year-old woman in whom a high-grade angiosarcoma of the forehead improved after discontinuation of lithium therapy and then progresse ...

Back to Basics, 2003 POPULATION HEALTH

... samples from those populations. Inferences are valid only if samples are representative (to avoid bias). • Polls, surveys, etc. use inferential statistics to infer what the population thinks based on a few people. • RCT’s used them to infer treatment effects, etc. • 95% confidence intervals are a ve ...

... samples from those populations. Inferences are valid only if samples are representative (to avoid bias). • Polls, surveys, etc. use inferential statistics to infer what the population thinks based on a few people. • RCT’s used them to infer treatment effects, etc. • 95% confidence intervals are a ve ...

Day2

... In health, data are often in categories. Categories could be dichotomous, people having or not having disease, male or female, case or control, etc. Categories could be age group, ethnic group, treatment groups etc. We basically count the number in each category and present in terms of frequency dis ...

... In health, data are often in categories. Categories could be dichotomous, people having or not having disease, male or female, case or control, etc. Categories could be age group, ethnic group, treatment groups etc. We basically count the number in each category and present in terms of frequency dis ...

Advanced Statistics: Up with Odds Ratios! A Case for Odds Ratios

... no matter what the data show unless the RRs for the lower-risk groups were below 1.67. In fact, to take the extreme case, had the observed mortality in patients in the high-risk group receiving DCLHb been 100%, and ignoring random error, it would be reasonable to argue that the effect of DCLHb is ac ...

... no matter what the data show unless the RRs for the lower-risk groups were below 1.67. In fact, to take the extreme case, had the observed mortality in patients in the high-risk group receiving DCLHb been 100%, and ignoring random error, it would be reasonable to argue that the effect of DCLHb is ac ...

Descriptive statistical methods and comparison measures

... The difference in the mean of an outcome variable between two independent samples is generally assessed using the t-test (validity condition: approximate normality and similar variability of the data in both groups or sufficiently large sample sizes.) If data have a skewed distribution (e.g., lab me ...

... The difference in the mean of an outcome variable between two independent samples is generally assessed using the t-test (validity condition: approximate normality and similar variability of the data in both groups or sufficiently large sample sizes.) If data have a skewed distribution (e.g., lab me ...

Perioperative low cardiac output syndrome

... myocardial oxygen consumption, intracellular calcium concentrations, or an adverse effect on diastolic function. ...

... myocardial oxygen consumption, intracellular calcium concentrations, or an adverse effect on diastolic function. ...

toxicology news- 9- lm - American Clinical Solutions

... urinary samples always raises a red flag for illicit methamphetamine use in patients. A common question ensued is, "What is the source of methamphetamine?" (e.g., from street drugs or prescription drugs), since several prescription drugs and one over-the-counter inhaler can either contain or be conv ...

... urinary samples always raises a red flag for illicit methamphetamine use in patients. A common question ensued is, "What is the source of methamphetamine?" (e.g., from street drugs or prescription drugs), since several prescription drugs and one over-the-counter inhaler can either contain or be conv ...

Elevated triglycerides/HDL-cholesterol ratio associated with insulin

... terol particles.24 In addition, TG content in liver25-27 and muscle28-31 tissues is a determining factor for the development of IR. These findings support the important role played by TGs in IR. Hence, the results of this study showed a significant association, which translates into the possibility ...

... terol particles.24 In addition, TG content in liver25-27 and muscle28-31 tissues is a determining factor for the development of IR. These findings support the important role played by TGs in IR. Hence, the results of this study showed a significant association, which translates into the possibility ...

doc - Cynosure Health

... discharged. The fields listed above were used to create an odds ratio describing the characteristics power in predicting readmission (formula 1). The odds ratios with their corresponding characteristics were rank ordered. The top 10 characteristics were used to perform a linear regression analysis. ...

... discharged. The fields listed above were used to create an odds ratio describing the characteristics power in predicting readmission (formula 1). The odds ratios with their corresponding characteristics were rank ordered. The top 10 characteristics were used to perform a linear regression analysis. ...

study?

... Thus, suppose a new therapy managed to reduce 5 year mortality of Creutzfeldt-Jakob disease from 100% on standard therapy to 90% on the new treatment. This would be a major breakthrough and has a NNT of (1/(1-0.9))=10. In contrast, a drug that reduced mortality from 50% to 40% would also have a NNT ...

... Thus, suppose a new therapy managed to reduce 5 year mortality of Creutzfeldt-Jakob disease from 100% on standard therapy to 90% on the new treatment. This would be a major breakthrough and has a NNT of (1/(1-0.9))=10. In contrast, a drug that reduced mortality from 50% to 40% would also have a NNT ...

how to understand it - Practical Neurology

... of outcome can be meta-analysed: continuous outcomes such as time to a given event, and binary outcomes such as dead or alive. Many neurological trials use categorical outcomes such as improved/no change/worsened and these need to be converted to a binary outcome before they can be combined, e.g. im ...

... of outcome can be meta-analysed: continuous outcomes such as time to a given event, and binary outcomes such as dead or alive. Many neurological trials use categorical outcomes such as improved/no change/worsened and these need to be converted to a binary outcome before they can be combined, e.g. im ...

Pro: Immunomodulators and Anti-TNFs Must Be Stopped When a

... •Infection by an organism which has limited pathogenic capacity in ordinary circumstances ...

... •Infection by an organism which has limited pathogenic capacity in ordinary circumstances ...

Post-test probabilities - STT

... Selection bias - for example, we select sicker patients to receive active treatment and fitter patients to receive inactive treatment. Observer bias - for example, we know that a patient had active treatment so we subconsciously encourage her to rate her quality of life as higher than it really is. ...

... Selection bias - for example, we select sicker patients to receive active treatment and fitter patients to receive inactive treatment. Observer bias - for example, we know that a patient had active treatment so we subconsciously encourage her to rate her quality of life as higher than it really is. ...

Visio-Ketogenic Diet Initiation Care Guideline rev 1-20

... Urine ketones, specific gravity, and pH q void; if specific gravity > 1.030 consider IV fluid bolus (no dextrose) Ketogenic diet – PO (Modified diet) or Enteral(ketognic recipe) (see p. 2) Fluids – maintenance divided throughout the day (caffeine & calorie free). If NPO, provide maintenance IVF (no ...

... Urine ketones, specific gravity, and pH q void; if specific gravity > 1.030 consider IV fluid bolus (no dextrose) Ketogenic diet – PO (Modified diet) or Enteral(ketognic recipe) (see p. 2) Fluids – maintenance divided throughout the day (caffeine & calorie free). If NPO, provide maintenance IVF (no ...

3. Diagnosis and Harm/Etiology

... that are both applied to the same study population. One of the diagnostic tests applied to the study population is the reference standard, or “gold” standard; this tool acts as the standard of test sensitivity and specificity against which the other test is compared. Sensitivity and specificity are ...

... that are both applied to the same study population. One of the diagnostic tests applied to the study population is the reference standard, or “gold” standard; this tool acts as the standard of test sensitivity and specificity against which the other test is compared. Sensitivity and specificity are ...

Sampling and Measurement

... Ways to Check Reliability • Stability (test-retest reliability) – the same test is given to a sample of individuals on two occasions, then the scores are compared by computing a reliability coefficient. (A reliability coefficient is a correlation coefficient between the two scores) • Internal consi ...

... Ways to Check Reliability • Stability (test-retest reliability) – the same test is given to a sample of individuals on two occasions, then the scores are compared by computing a reliability coefficient. (A reliability coefficient is a correlation coefficient between the two scores) • Internal consi ...

Dynamic Left Ventricular Outflow Tract Obstruction: Clinical and

... cohort). A blinded observer classified all patients as either high or low echocardiographic risk for developing LVOTO. Results: The retrospective cross sectional study (of validation cohort) could not validate the clinical score (developed from the development cohort) because it did not differentiat ...

... cohort). A blinded observer classified all patients as either high or low echocardiographic risk for developing LVOTO. Results: The retrospective cross sectional study (of validation cohort) could not validate the clinical score (developed from the development cohort) because it did not differentiat ...

The following examination contains a

... randomization should equally assign persons with both known and unknown confounders between the two (or more) groups. Measures EFFICACY. Cohort study – Can measure exposure and outcome carefully. Good for studying long-term disease processes and to measure EFFECTIVENESS. Can demonstrate a temporal a ...

... randomization should equally assign persons with both known and unknown confounders between the two (or more) groups. Measures EFFICACY. Cohort study – Can measure exposure and outcome carefully. Good for studying long-term disease processes and to measure EFFECTIVENESS. Can demonstrate a temporal a ...

Getting Started with PROC LOGISTIC

... increasing or decreasing the probability that the dependent variable will achieve the value of one in the population from which the data are assumed to have been randomly sampled. The Odds Ratio Exponentiation of the parameter estimate(s) for the independent variable(s) in the model by the number e ...

... increasing or decreasing the probability that the dependent variable will achieve the value of one in the population from which the data are assumed to have been randomly sampled. The Odds Ratio Exponentiation of the parameter estimate(s) for the independent variable(s) in the model by the number e ...

Getting Started With PROC LOGISTIC

... increasing or decreasing the probability that the dependent variable will achieve the value of one in the population from which the data are assumed to have been randomly sampled. The Odds Ratio Exponentiation of the parameter estimate(s) for the independent variable(s) in the model by the number e ...

... increasing or decreasing the probability that the dependent variable will achieve the value of one in the population from which the data are assumed to have been randomly sampled. The Odds Ratio Exponentiation of the parameter estimate(s) for the independent variable(s) in the model by the number e ...

Getting Started with PROC LOGISTIC

... true value of these quantities in the population from which the data under analysis are assumed to have been randomly sampled. Confidence intervals for the odds ratios can be obtained by: ...

... true value of these quantities in the population from which the data under analysis are assumed to have been randomly sampled. Confidence intervals for the odds ratios can be obtained by: ...