Annualized ER Rate for Program-triggered Conditions per 1000 Members

Jun 21, 2025

20 likes | 107 Vues

In this time series analysis, the annualized emergency room (ER) rate for program-triggered conditions per 1000 members is examined. The data provides insights into trends, patterns, and measures related to ER visits for specific conditions within a given population.

Share Presentation

Embed Code

julianna-larya

Télécharger la présentation

Annualized ER Rate for Program-triggered Conditions per 1000 Members

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

Appendix 3: Time Series Analysis
Annualized ER Rate for Program-triggered Conditions Per 1000 Members

Multilevel Discrete-time Event History Analysis

Multilevel Discrete-time Event History Analysis. Centre for Multilevel Modelling Graduate School of Education University of Bristol 13-14 September 2007 Instructor : Fiona Steele. Course Outline. Discrete-time methods for modelling time to a single event

2.14k views • 135 slides

Chapter 2 Frequency Domain Analysis of Signals and Systems

Chapter 2 Frequency Domain Analysis of Signals and Systems. CONTENTS. Fourier Series Fourier Transforms Power and Energy Sampling of Bandlimited Signals Bandpass Signals. 2.1 FOURIER SERIES.

1.97k views • 73 slides

Non-compartmental analysis and The Mean Residence Time approach

Non-compartmental analysis and The Mean Residence Time approach. A Bousquet-Mélou. Synonymous. Mean Residence Time approach Statistical Moment Approach Non-compartmental analysis. Standard deviation. Random variable values. Mean. Statistical Moments.

3.68k views • 47 slides

IBM System Storage – N series

IBM System Storage – N series. IBM System Storage N series Agenda. Information Infrastructure - N series What’s new with N series ? N6000 series enhancements Expansion drives Products to be withdrawn IBM N series – Marketing notables R13 Important links and resources. 2.

1.45k views • 67 slides

Chapter 5 and Appendix A: A-1 through A-5 for now

Chapter 5 and Appendix A: A-1 through A-5 for now. Geometric Transformations Needed for Animation A Mathematics Chapter. IDEAL BACKGROUND FOR ANIMATION IN GRAPHICS. Need concepts from analytical geometry trigonometry linear algebra vector analysis

1.16k views • 99 slides

MNG221 - Management Science –

MNG221 - Management Science – . Queuing Analysis. Queuing Analysis. Introduction Queuing analysis is the probabilistic analysis of waiting lines. Because time is a valuable resource , the reduction of waiting time is an important topic.

1.33k views • 84 slides

Appendix 20

Appendix 20. Drug-Facilitated Rape. National Judicial Education Program. Drug-Facilitated Sexual Assault. US Department of Justice Federal Bureau of Investigation FBI Laboratory Chemistry Unit Washington, DC 20535 (202) 324-4329. Agenda. What is DFR?

1.21k views • 96 slides

Process Analysis Operation Analysis (Micro) Motion Study Time Study Work Instruction Establishing

Work Study. Process Analysis Operation Analysis (Micro) Motion Study Time Study Work Instruction Establishing. To improve Work Method. Eliminate unnecessary operations Ease the necessary operations Balance the uses of body Reduce cycle time. Motion Study Techniques. Process Analysis

1.28k views • 26 slides

9.1 Power Series

9.1 Power Series. Start with a square one unit by one unit:. 1. This is an example of an infinite series . This series converges (approaches a limiting value.). 1. Many series do not converge:. 9.1 Power Series.

1.45k views • 93 slides

INFINITE SEQUENCES AND SERIES

11. INFINITE SEQUENCES AND SERIES. INFINITE SEQUENCES AND SERIES. 11.2 Series. In this section, we will learn about: Various types of series. SERIES. Series 1. If we try to add the terms of an infinite sequence we get an expression of the form

1.58k views • 78 slides

Chapter 9 Regression with Time Series Data: Stationary Variables

Chapter 9 Regression with Time Series Data: Stationary Variables. Walter R. Paczkowski Rutgers University. Chapter Contents. 9.1 Introduction 9.2 Finite Distributed Lags 9 .3 Serial Correlation 9 .4 Other Tests for Serially Correlated Errors

2.13k views • 172 slides

Time Series – from Achieved to Excellence

Time Series – from Achieved to Excellence. http:// www.nzchildren.co.nz / child_poverty.php. What will be covered. T echniques and data that gets students engaged in the topic H elp with the research component A discussion on forms of assessment

1.17k views • 107 slides

On the Trend, Detrend and the Variability of Nonlinear and Nonstationary Time Series

On the Trend, Detrend and the Variability of Nonlinear and Nonstationary Time Series. Norden E. Huang Research Center for Adaptive Data Analysis National Central University, Taiwan. Satellite Altimeter Data : Greenland. Two Sets of Data. IPCC Global Mean Temperature Trend.

1.13k views • 90 slides

Timing Analysis in Quartus

Timing Analysis in Quartus. Features. Quartus is capable of doing single clock design timing analysis and multi-clock design timing analysis Single clock timing analysis Fmax (maximum clocking frequency) Tsu, Th, Tco (setup time, hold time, clock-to-out time)

1.11k views • 79 slides

Time Series Analysis in AFNI

Time Series Analysis in AFNI. Outline: 6 + Hours of Edification. Philosophy (e.g., theory without equations) Sample FMRI data Theory underlying FMRI analyses: the HRF “Simple” or “Fixed Shape” regression analysis Theory and Hands-on examples

1.07k views • 92 slides

General Methods of Network Analysis

General Methods of Network Analysis. Node Analysis Mesh Analysis Loop Analysis Cutset Analysis State variable Analysis. Linear and time invariant network. Non linear and time varying network. Node and Mesh analyses. Source transformation Basic facts of node analysis Implication of KCL

1.04k views • 86 slides

Ch4 Sinusoidal Steady State Analysis

Engineering Circuit Analysis. Ch4 Sinusoidal Steady State Analysis. 4.1 Characteristics of Sinusoidal 4.2 Phasors 4.3 Phasor Relationships for R, L and C 4.4 Impedance 4.5 Parallel and Series Resonance 4.6 Examples for Sinusoidal Circuits Analysis.

1.41k views • 80 slides

Orthogonal Functions and Fourier Series

CHAPTER 12. Orthogonal Functions and Fourier Series. Contents. 12.1 Orthogonal Functions 12.2 Fourier Series 12.3 Fourier Cosine and Sine Series 12.4 Complex Fourier Series 12.5 Strum-Liouville Problems 12.6 Bessel and Legendre Series. DEFINITION 12.2. Orthogonal Function.

5.13k views • 119 slides

Series dc Circuits

Series dc Circuits. OBJECTIVES. Become familiar with the characteristics of a series circuit and how to solve for the voltage, current, and power to each of the elements. Develop a clear understanding of Kirchhoff’s voltage law and how important it is to the analysis of electric circuits.

1.25k views • 95 slides

Chapter 5 and Appendix A: A-1 through A-5 for now

1.15k views • 99 slides

Econ 240 C

Econ 240 C. Lecture 11. Outline. Benchmark Forecasts Project One Post-Midterm Topics Distributed Lag Models: Lab 6 Distributed Lag Models: Lab 7 Appendix: Moving Averages. Benchmark Forecasts. “Naïve Forecasts” Time series is level: use mean

1.29k views • 115 slides

More Related