Beta coefficient (95% CI)

Slides:

Advertisements

Similar presentations

Advertisements

Chapter 9 Elton, Gruber, Brown & Goetzmann

Chapter 5 The Mathematics of Diversification

1 times table 2 times table 3 times table 4 times table 5 times table

Unit V: Portfolio Performance Measurement

EFFECT SIZE Parameter used to compare results of different studies on the same scale in which a common effect of interest (response variable) has been.

Adiponectinemia, glucose status, insulin secretion and insulin resistance in obese women: influence of weight loss 1) To compare variation in adiponectin.

Table 1. Cluster 1 Patients Attaining Treatment Levels % Patients Attaining Treatment Levels 24 Weeks64 Weeks E/S + N † E/S † N†N† E/S + N † E/S † Cluster.

5.5: Direct Variation. A function in the form y = kx, where k ≠ 0, is a direct variation. The constant of variation k is the coefficient of x. The variables.

Sec 1.5 Scatter Plots and Least Squares Lines Come in & plot your height (x-axis) and shoe size (y-axis) on the graph. Add your coordinate point to the.

Notes Over 4.5 Writing a Direct Variation Equation In Exercises 1-6, the variable x and y vary directly. Use the given values to write an equation that.

Statistical planning and Sample size determination.

Kin 304 Correlation Correlation Coefficient r Limitations of r

Logistic Regression. Linear Regression Purchases vs. Income.

Economics Data and Math 1.  Playing with variables and numbers  Index  Absolute vs relative  Index = number  No units  No units = unit A / unit.

Take your periodic table out. What is atomic mass of Carbon Point where you can find it in the periodic table! 6 is atomic number not atomic mass Atomic.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

Differential Equations Linear Equations with Variable Coefficients.

HFT 4464 Final Exam Review. Final Exam is Cumulative Chapter 1 through Chapter 10 Chapter 1 through Chapter Multiple Choice Questions 50 Multiple.

Tables Learning Support

Lesson 3.5 Limits at Infinity. From the graph or table, we could conclude that f(x) → 2 as x → Graph What is the end behavior of f(x)? Limit notation:

Table of Contents Factoring – Greatest Common Factor When factoring out the greatest common factor (GCF), determine the common factor by looking at the.

ANSWER is 25% of what number ANSWER 40% 4.What percent of 90 is 36? ANSWER d = 4 ANSWER x = Solve:

Module 25: Confidence Intervals and Hypothesis Tests for Variances for One Sample This module discusses confidence intervals and hypothesis tests.

SOLVING SYSTEMS OF EQUATIONS BY SUBSTITUTION. #1. SOLVE one equation for the easiest variable a. Isolated variable b. Leading Coefficient of One #2. SUBSTITUTE.

Notes 6.5, Date__________ (Substitution). To solve using Substitution: 1.Solve one equation for one variable (choose the variable with a coefficient of.

Essential Questions How do we multiply polynomials?

Solving Radical Equations Steps Examples. Solving an Equation Containing a Radical  Steps  Isolate the radical  Take BOTH sides to the power.

Figure 14-1 Molecular Biology of the Cell (© Garland Science 2008)

BPK 304W Correlation Correlation Coefficient r Limitations of r

1.1 Tables and Graphs of Linear Equations

Probability vs. Impact Matrix

Leptin/Adiponectin Ratio

Association between Lipoprotein (a) Level and Type 2 Diabetes: No Evidence for a Causal Role of Lipoprotein (a) and Insulin Nikolaus Buchmann, Markus Scholz,

© The Author(s) Published by Science and Education Publishing.

HFT 4464 Final Exam Review.

Supplemental table Adjustment - SOFA score MAP Vasopressors All

Scatter Plot Add your comments here..

Presentation Test. Second Slide Third Slide It worked.

Supplemental Table 1. Sensitivity analysis comparing mixed effects Poisson regression with robust error variance using imputed versus non-missing SBP.

בטיחות בתעשייה בהיבט חברות הביטוח

Kin 304 Correlation Correlation Coefficient r Limitations of r

Adipokines, adiposity, and vasomotor symptoms during the menopause transition: findings from the Study of Women's Health Across the Nation Rebecca C.

A Systematic Review and Meta-Analysis

Defining one variable in terms of another variable

Volume 17, Issue 4, Pages (April 2013)

Chapter 5 Macroeconomic Measurement: The Current Approach.

Cardiovascular and metabolic profiles of offspring conceived by assisted reproductive technologies: a systematic review and meta-analysis Xiao-Yan Guo,

BIVARIATE ANALYSIS: Measures of Association Between Two Variables

Warm Up The table below shows data on the number of live births per 1000 women (aged years) from 1965 to (Hint: enter the year as the years.

Pregnancy-related complications and perinatal outcomes resulting from transfer of cryopreserved versus fresh embryos in vitro fertilization: a meta-analysis

A B D C Total adiponectin (μg/ml ) Hb ( g / dl ) r = p = 0.003

Supplemental Table 1: Differences in mean BMI-SDS between 2005 and 2015 – the obese lose weight while the overweight stabilize or even increase weight.

Forest plot of risk ratio with its 95% CI for the incidence of contrast-induced nephropathy among patient taking statin versus control based on renal impairment.

High-molecular-weight adiponectin is inversely associated with sympathetic activity in polycystic ovary syndrome Soulmaz Shorakae, M.D., Sally K. Abell,

BIVARIATE ANALYSIS: Measures of Association Between Two Variables

Figure 6.1 Risk as Function of Number of Stocks in Portfolio

A. Percent density B. Dense area Chinese Indian Malay Chinese Indian

Illustration of Beta 11.

Equivalent Linear Expressions

3 times tables.

6 times tables.

Parts of an Expression EE2b. Identify parts of an expression using mathematical terms (sum, term, product, factor, quotient, coefficient).

Title Goes Here Title Goes Here Title Goes Here Title Goes Here

ACC/AHA 2017 definition of high blood pressure: implications for women with polycystic ovary syndrome Lucas Bandeira Marchesan, B.Sc., Poli Mara Spritzer,

Volume 86, Issue 2, Pages (August 2014)

Multiplying Radicals.

Odds of incident diabetes by OGTT insulin patterns according to subjects characterized by presence or absence of IGT or dichotomized at the median value.

Artemisia santolinaefolia Artemisia scoparia

Presentation transcript:

Beta coefficient (95% CI) Model 1 Model 2 Beta coefficient (95% CI) Medium vs low third High versus low third Dependent variable: HOMA-S Leptin -48.7 (-74.0 -23.4) -43.8 (-69.5, -18.1) -49.0 (-76.3, -21.7) -44.4 (-78.2, -10.6) Total Adiponectin -5.7 (-35.6, 24.1) 15.8 (-13.0, 44.7) -8.7 (-38.5, 21.1) 6.5 (-24.7, 37.7) High-Molecular Weight Adiponectin -2.5 (-32.0, 27.0) 15.1 (-14.0, 44.1) -13.3 (-44.2, 17.7) 6.4 (-23.4, 36.3) LAR -17.7 (-44.6, 9.1) -43.5 (-70.5, -16.5) -17.1 (-45.7, 11.4) -42.2 (-75.5, -8.9) Leptin/HMWA ratio -21.6 (-48.5, 5.2) -43.4 (-70.5, -16.3) -20.8 (-49.2, 7.6) -41.5 (-74.5, -8.4) Dependent variable: Matsuda index -3.1 (-4.7, -1.5) -3.1 (-4.8, -1.5) -3.0 (-4.7, -1.2) -2.8 (-5.0, -0.6) 1.1 (-0.8, 3.0) 2.0 (0.2, 3.9) 0.9 (-1.0, 2.8) 1.3 (-0.6, 3.3) 0.8 (-1.1, 2.7) 1.7 (-0.2, 3.6) 0.1 (-1.9, 2.0) -0.9 (-2.6, 0.7) -3.5 (-5.2, -1.8) -0.9 (-2.6, 0.9) -3.3 (-5.4, -1.3) -1.3 (-3.0, 0.4) -3.2 (-5.0, -1.5) -1.2 (-2.9, 0.6) -2.9 (-5.0, -0.8) Dependent variable: CSi index -1.7 (-4.3, 1.0) -1.6 (-4.2, 1.0) -0.7 (-3.5, 2.0) 0.5 (-2.8, 3.7) 0.3 (-2.3, 3.0) 3.3 (0.7, 5.9) 0.1 (-2.5, 2.8) 2.6 (-0.2, 5.4) 1.0 (-1.9, 3.8) 2.1 (-0.7, 4.9) -0.01 (-2.9, 2.9) 1.3 (-1.4, 4.1) -1.1 (-3.6, 1.4) -2.8 (-5.5, -0.1) -0.6 (-3.2, 2.0) -1.5 (-4.8, 1.7) -1.2 (-3.8, 1.3) -2.5 (-5.2, 0.3) -0.7 (-3.3, 1.9) -1.1 (-4.3, 2.1) Table 1 supplemental data