'Poisson regression' diaporamas de présentation

Web Site Example

Web Site Example. Web site for clothing catalogue company Company has customer data on purchases from site, but wants to know more about all visitors to their web site Buys web panel data from Nielsen//NetRatings or Media Metrix (not in NZ)

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Stats 330: Lecture 27

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BMTRY 701 Biostatistical Methods II

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Statistical Inference and Regression Analysis: GB.3302.30

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Generalized Linear models

Generalized Linear models. GENERALIZED LINEAR MODELS. Overview. overview. general linear models. Actually, proc glm. overview. GENERALIZED LINEAR MODELS. The distribution of the observations can come from the exponential family of distributions.

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Logistic Regression

Logistic Regression. Outline. Review of simple and multiple regression Simple Logistic Regression The logistic function Interpretation of coefficients continuous predictor (X) dichotomous categorical predictor (X) categorical predictor with three or more levels (X)

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Genetic Association and Generalised Linear Models

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EVALUATION OF RADAR SENSING IN REDUICING VEHICLE-DEER COLLISIONS ON INDIANA TOLL ROAD I-80

EVALUATION OF RADAR SENSING IN REDUICING VEHICLE-DEER COLLISIONS ON INDIANA TOLL ROAD I-80 Sedat Gulen Statistical Research Engineer Samuel E. Wolfe Road Operations Engineer INDOT - Toll Road Professor George McCabe Department of Statistics Purdue University

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Lecture 21: poisson regression log-linear regression

Lecture 21: poisson regression log-linear regression. BMTRY 701 Biostatistical Methods II. Poisson distribution. Used for count data generally, rare events in space or time upper limit is theoretically infinite Examples: earthquakes, hurricanes cancer incidence (spatial)

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Stats 330: Lecture 26

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Efficacy of routine viral load, CD4 cell count, and clinical monitoring of adults taking antiretroviral therapy in Rural

Efficacy of routine viral load, CD4 cell count, and clinical monitoring of adults taking antiretroviral therapy in Rural Uganda. Alex Coutinho MD MPH DTM&H Jonathan Mermin MD MPH et al CROI Boston, USA February 2008. Obstacles to rural HIV care.

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Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Tests Despite Incorrect Regression Models

Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Tests Despite Incorrect Regression Models. Michael Rosenblum, UCSF TAPS Fellow Mark J. van der Laan, Dept. of Biostatistics, UC Berkeley. Paper at following link: http://www.bepress.com/ucbbiostat/paper219.

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Deer-Vehicle Crashes

Deer-Vehicle Crashes . Hui Anne Ben. Goal. Create a model that will be useful in predicting the number of deer vehicle crashes on a given section of roadway. The Response Variable. Y = number of deer-vehicle crashes per half-mile section of roadway over 1 year period

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More on exposure/response associations

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Introduction to L ogistic R egression

Introduction to L ogistic R egression. Simple linear regression. Table 1 Age and systolic blood pressure (SBP) among 33 adult women. SBP (mm Hg). Age (years). adapted from Colton T. Statistics in Medicine. Boston: Little Brown, 1974. Simple l inear regression.

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Poisson Regression

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Count data, contingency tables and log-linear models

Count data, contingency tables and log-linear models. Expected frequency: Log-linear models are linear models of the log expected frequency (log is used as link function). A log-linear model for independence. The last parameter of each kind can be set to zero.

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Poisson Regression with Rates

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Limited Dependent Variables

Limited Dependent Variables. Poisson Model. The Poisson Regression Model. y takes on relatively few values (including zero) Number of children born to a woman Number of times someone is arrested in a year Number of patents applied for by a firm in a year

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