'Factorial design' presentation slideshows

Design of Engineering Experiments Two-Level Factorial Designs

Design of Engineering Experiments Two-Level Factorial Designs. Text reference, Chapter 6 Special case of the general factorial design; k factors, all at two levels The two levels are usually called low and high (they could be either quantitative or qualitative)

2.6k views • 79 slides

?????????

?????????. ?????? ??? ??? ????????????????. ??. ?????? Within-subject design Single factor Multiple factors Between-subject design Mixed design ??????. ????. ?????????? ????????????????????????? ????????????????? ???????????????? ???????????. ??????. Within-Subject Design.

995 views • 68 slides

Experimental Design

Experimental Design. Christian Ruff With thanks to: Rik Henson Daniel Glaser. Statistical parametric map (SPM). Design matrix. Image time-series. Kernel. Realignment. Smoothing. General linear model. Gaussian field theory. Statistical inference. Normalisation. p <0.05. Template.

590 views • 37 slides

GCIG Cervix Committee: Prague 2010

GCIG Cervix Committee: Prague 2010. William Small Jr. Satoru Sagae. Activity Since Chicago. Conference calls were held in July and September Separate radiotherapy calls were accomplished to finalize the radiotherapy section for the upcoming ANZGOG outback trial.

1.06k views • 32 slides

Eva M. Lonn, MD, MSc, FRCPC, FACC Professor of Medicine McMaster University Hamilton, Ontario, Canada

Eva M. Lonn, MD, MSc, FRCPC, FACC Professor of Medicine McMaster University Hamilton, Ontario, Canada. STARR: The Study of Atherosclerosis with Ramipril and Rosiglitazone . STARR. Study of Atherosclerosis with Ramipril and Rosiglitazone.

540 views • 30 slides

Wednesday, Nov. 18 Analysis of Variance

Wednesday, Nov. 18 Analysis of Variance. Wednesday, Nov. 18 The Analysis of Variance. Wednesday, Nov. 28 The Analysis of Variance. ANOVA. Between-group variance estimate. F =. within-group variance estimate. _. SS T = ? (X - X G ) 2 SS B = ? N i (X i - X G ) 2

368 views • 22 slides

BEHAVIORAL CHARACTERISTICS OF LANDSCAPE STRUCTURE METRICS IN NEUTRAL LANDSCAPES

BEHAVIORAL CHARACTERISTICS OF LANDSCAPE STRUCTURE METRICS IN NEUTRAL LANDSCAPES. FRAGSTATS Workshop 18, July 2003 IALE World Congress Darwin, Australia. Increasing area (P). 95%. Step 1: Generate binary neutral landscapes using the computer program RULE ( Gardner 1999 ).

445 views • 21 slides

Factorial Designs

Factorial Designs. Background. Factorial designs are when different treatments are evaluated within the same randomised trial. A factorial design has a number of important advantages. . Advantages. Two trials for the price of one.

551 views • 21 slides

Fixed, Random, and Mixed Effects ANOVA

Fixed, Random, and Mixed Effects ANOVA. And Nesting and Crossing of Factors. Sampling Fractions. Sampling fraction, sf , for classification variable = levels in the sample divided by levels in the population.

641 views • 20 slides

Making Inferences about Causality

Watching violent TV. Acting violent. Making Inferences about Causality. In general, children who watch violent television programs tend to behave more aggressively toward their peers and siblings. Question: Can we assume a causal relationship between these two variables?. +.

358 views • 19 slides

351 views • 18 slides

Experimental Design to evaluate a reagent system for a nickel ore flotation

448 views • 18 slides

Experimental designs

Experimental designs. Between- / Within-subjects . Between-subjects design Each partcipant takes part in 1 experimental condition Analysis of differences between groups of participants from different conditions Within-subjects design Subjects take part in all conditions

580 views • 17 slides

General Linear Model

General Linear Model. Recall Dummy Coding. Dummy coding 0s and 1s k-1 predictors will go into the regression equation leaving out one reference category (e.g. control) Coefficients will be interpreted as change with respect to the reference variable (the one with all zeros)

376 views • 15 slides

Level of Systolic Blood Pressure Within the Normal Range and Risk of Recurrent Stroke

393 views • 15 slides

Experimental Designs

Experimental Designs. Experiments are conducted to identify how independent variables influence some change in a dependent variable. Researcher-Related Threats to Internal Validity. Experimenter Effect Observer Bias Researcher Attribute Effect.

412 views • 13 slides

Chapter 7 Blocking and Confounding in the 2 k Factorial Design

Chapter 7 Blocking and Confounding in the 2 k Factorial Design. 7.2 Blocking a Replicated 2 k Factorial Design. Blocking is a technique for dealing with controllable nuisance variables A 2 k factorial design with n replicates.

944 views • 8 slides

Power of DOE

251 views • 6 slides

Factorial Experiments

635 views • 5 slides

BARI 2D

BARI 2D. Mortality: 11.7% with revasc. vs. 12.2% with medical therapy; 11.8% with insulin-sensitization vs. 12.1% with insulin-provision PCI stratum, MACE: 23.0% with revasc. vs. 21.1% with medical therapy (p = 0.15)

289 views • 1 slides