'Large sample test' presentation slideshows

Concepts of Interaction

Concepts of Interaction. Matthew Fox Advanced Epi. What is interaction?. Interaction?. Interaction?. Last Session. New approaches to confounding Instrumental variables Variable strongly predictive of exposure, no direct link to outcome, no common causes with outcome Propensity scores

896 views • 70 slides

Chapter 10

Chapter 10. Categorical Data Analysis. Inference for a Single Proportion ( p ). Goal: Estimate proportion of individuals in a population with a certain characteristic ( p ). This is equivalent to estimating a binomial probability

551 views • 45 slides

Chapter 10

Chapter 10. Categorical Data Analysis. Inference for a Single Proportion ( p ). Goal: Estimate proportion of individuals in a population with a certain characteristic ( p ). This is equivalent to estimating a binomial probability

516 views • 45 slides

Chapter 10

Chapter 10. Categorical Data Analysis. Inference for a Single Proportion ( p ). Goal: Estimate proportion of individuals in a population with a certain characteristic ( p ). This is equivalent to estimating a binomial probability

452 views • 45 slides

Inference for a Single Population Proportion ( p )

499 views • 33 slides

Chapter 6

Chapter 6. Introduction to Statistical Inference. Introduction. Goal: Make statements regarding a population (or state of nature) based on a sample of measurements Probability statements used to substantiate claims Example: Clinical Trial for Pravachol (5-year follow-up)

332 views • 33 slides

SECTION 1 TEST OF A SINGLE PROPORTION

SECTION 1 TEST OF A SINGLE PROPORTION. If the data we are analyzing are nominal data, the hypothesis might be a statement about: The value of the proportion, ? , of population members that have a certain characteristic (one of the categories of the nominal variable).

538 views • 32 slides

Ch9. Inferences Concerning Proportions

Ch9. Inferences Concerning Proportions . Outline. Estimation of Proportions Hypothesis concerning one Proportion Hypothesis concerning several proportions Analysis of r*c tables Goodness of fit. Estimation.

451 views • 28 slides

Hypothesis Testing

Hypothesis Testing . We may wish to test prior hypotheses about the coefficients we estimate. We can use the estimates to test whether the data rejects our hypothesis. An example might be that we wish to test whether an elasticity is equal to one.

391 views • 22 slides