Sentences with phrase «outcome variable using»

Not exact matches

Atheists think the universe was created by a catastrophic explosion with an unknown cause... unknown (and always will be if they can help it), because if they used scientific method (as logic and reason dictates), they would have to use the existence of an intelligent God as a variable in coming up with possibilities as to the outcome of their theory.
My recipe is an outcome of so many experiments like different variety of tomatoes were used, then variable ratio of onion and tomatoes.
Using age - and gender - specific z scores for the repeated measures outcome variable and birth weight as the covariate, the between - group variable (breastfeeding medication group) was significant (P =.005).
The analysis was carried out using a logistic binary regression model, with PPH as the outcome variable and built using manual forward selection (with p < 0.05 as the cut - off).
Maternal demographic and obstetric variables listed in Table 1 were examined for their role as confounders of associations with the prevalence of selected adverse outcomes using unconditional logistic regression.
Lynch concluded «It would be helpful for this system to include more variables surrounding birth outcomes, for example VBAC (vaginal birth after caesarean section), maternal morbidity, setting, lead carer, use of syntocinin for augmentation of established labour and breastfeeding rates.
The reason their machine learning method is able to capture clinically significant outcomes is due to their intrinsic frequency algorithm, which is the mathematical analysis used to calculate physically relevant variables relating to the patient's heart and vascular function.
For example, a random variable can be used to describe the process of rolling a fair die and the possible outcomes -LCB- 1, 2, 3, 4, 5, 6 -RCB-.
«We're hoping to impress upon the scientific community the notion that for those of us who might be interested in predicting an outcome of interest, possibly with rather complex or high dimensional data, we might gain by reconsidering the question as one of how to search for highly predictive variables (or variable sets) and using statistics that measure predictivity to help us identify those variables to then predict well,» Lo said.
Standardized international Utstein definitions for defining clinical variables and outcomes are used to ensure uniformity.18 A CARES analyst reviews every record for completeness and accuracy.16 In North Carolina, a team of data consultants assisted with training, quality control, and data feedback to county EMS agencies regarding the CARES data.
Table 4 reports the results of 4 different logistic regression models with the presence of dementia as the outcome variable, using pooled 2000 and 2012 data.
Only cardiovascular tissues associated with one male pup per litter per measured outcome variable were used to control for sex and within - litter variation.
We used a logistic regression model with 30 - day mortality as an outcome, and the patient - level adjustment variables listed above as explanatory variables to determine each patient's likelihood of death.
After adjusting for variables which could impact the outcomes, such as age, sex, intensity of depression, and other conditions in addition to use of other medicines, the researchers determined that SSRIs and medications in the group of other medications for depression were linked to a greater risk of a number of adverse outcomes in contrast to TCAs.
In order to remove the confounding influence of unobserved factors that have an impact on both school spending and student outcomes, we calculate how much spending in a given school district would have been predicted to change due solely to the passage of an SFR, and use that prediction, rather than the spending change the district actually experienced, as our key variable.
Pages of Download Grade 2 Practice Sheets: 1 - Cover 2 - For the Teacher 3 - 6 - Measurement Length 7 - 11 - Measurement Height 12 - 15 - Place Value 16 - 20 - Ordinal Numbers 21 - 25 - Smallest / Largest Number in a set of numbers 26 - 29 - Greater than 30 - 33 - Less than 34 - 36 - Greater than / Less than 37 - 39 - Add or subtract write the sign in the blank 40 - 45 - Adding using place value (example: 4 + 13 + 5) 46 - 51 - Adding with words - Example - what is 150 more than 200 52 - 55 - Skip Counting 56 - 59 - Skip Counting - Missing Numbers on a Number line 60 - 65 - Reading Graphs 65 - 71 - Solving Word Problems 72 - 76 - Time 77 - 83 - Coin Identification and Coin counting 84 - 88 - Counting Dollars and coins 89 - 92 - Geometry 93 - 96 - Fractions 97 - 115 - Answer Keys 116 - 118 - Terms of Use and Credits Pages of Download Grade 3 Practice Sheets: 1 - Cover 2 - For the Teacher 3 - 6 - Measurement Length 7 - 11 - Measurement Height 12 - 19 - Place Value 20 - 24 - Find the smallest / largest number from a set of numbers 25 - 28 - Number Words 29 - 32 - Skip Counting - complete the sequence 33 - 37 - Counting dollars and coins 38 - 48 - Reading thermometers - temperature 49 - 53 - Reading graphs 54 - 57 - Reading Calendars 58 - 62 - Numerators and Denominators 63 - 67 - Fraction Circles 68 - 72 - Fractions of a solid 73 - 78 - Word Problems 79 - 83 - Data Tables 84 - 88 - Multi-Step Word Problems 89 - 92 - Rounding to the nearest ten 93 - 96 - Rounding to the nearest hundred 97 - 100 - Rounding word problems 101 - 103 - Probability 104 - 107 - Geometry - identifying shapes 108 - 110 - Height of a triangle 111 - 113 - Angles identifying right, acute, and obtuse 114 - 117 - Symmetry and Angles 118 - 121 - Perimeter 122 - 125 - Area 126 - 129 - Elapsed Time 130 - 155 - Answer Keys 156 - 158 - Credits and Terms of Use Pages of Download Grade 4 practice sheets: 1 - Cover 2 - For the Teacher 3 - 6 - Measurement Length 7 - 11 - Patterns 12 - 15 - Parallel and Perpendicular Lines 16 - 26 - Reading Temperature 27 - 31 - Reading Graphs 32 - 36 - Coordinate Graphs 37 - 41 - Skip Counting - complete the sequence 42 - 46 - Place Value 47 - 50 - Number Words 51 - 55 - Powers of 10 56 - 60 - Adding using Place Value 61 - 70 - Fractions 71 - 75 - Fraction Word Problems 76 - 80 - Convert Fractions to Decimals 81 - 85 - Convert Decimals to Fractions 86 - 90 - Height of a figure 91 - 95 - Missing Number in an equation 96 - 100 - Balancing Equations 101 - 105 - Data Tables - ordering numbers 106 - 110 - Data Table Addition 111 - 115 - Data Table Time 116 - 120 - Data Table Subtraction 121 - 125 - Estimation Word Problems 126 - 130 - Ratio Word Problems 131 - 134 - Probability 135 - 140 - Spinner Probability 141 - 145 - Arrays 146 - 173 - Answer Keys 174 - 177 - Credits and Terms of Use Pages of Download Grade 5 Sheets: 1 - Cover 2 - For the Teacher 3 - 7 - Units of Measure 8 - 12 - Reading Graphs 13 - 17 - Number Words 18 - 22 - Place Value 23 - 27 - Decimal Place Value 28 - 32 - Rounding Numbers 33 - 37 - Complete the sequence, skip counting 38 - 42 - Solving Equations 43 - 47 - Variable Equations 48 - 52 - Simplify Expressions 53 - 57 - Finding the Mean 58 - 62 - Mean, Median, Mode 63 - 67 - Greatest Common Factor 68 - 72 - Fractions 73 - 77 - Comparing a set of Fractions 78 - 83 - Comparing Multiple Fractions 84 - 93 - Fraction Word Problems 94 - 98 - Estimating / Estimation Word Problems 99 - 103 - Possible Outcome Problems 104 - 108 - Distance Word Problems 109 - 113 - Division Word Problems 114 - 118 - Ratio Word Problems 119 - 124 - Coordinate Graphs 125 - 130 - Perimeter 131 - 135 - Area 136 - 145 Elapsed Time Clocks and Watches 146 - 171 - Answer Keys 172 - 175 - Credits and Terms of Use
Using a rich set of control variables, the report generates a ranking that shows which states are «breaking the curve» — producing stronger academic outcomes for their students compared to demographically similar students across the US.
The outcome of the lottery, a random event, was used to create what statisticians refer to as an instrumental variable, which obtains unbiased estimates of the effects of attending private school on students» test scores.
One analysis by Eric Eide and Nick Ronan uses an instrumental variable approach to estimate the effect of participating in high school sports on long - term outcomes, like educational attainment and earnings.
In either case, these «unobserved» variables get in the way because students using vouchers may have had different academic outcomes even if there were no voucher program.
There are many variables that can affect their outcome, and the criteria used in most studies may not be similar enough to your industry to be useful.
Due to the complexity of the study, the fact that many of the classroom variables focus on grades 1 - 3 (e.g., student level of engagement, time spent in small - or whole - group instruction, preferred interaction style), and the use of different outcome measures, the kindergarten classrooms were dropped from the analysis.
In a nutshell, she points out that the MET study asked whether actual observation of teaching, student surveys, or VAM test score measures did a better job of predicting future student test score growth, which «privileges» test scores by using it both as a variable being tested and as the outcome reflecting gains.
These outcomes have been achieved through SEL's impact on important mental health variables that improve children's social relationships, increase their attachment to school and motivation to learn, and reduce antisocial, violent, and drug - using behaviors.
Future research should seek additional control variables as well as use experimental and quasi-experimental designs to establish a causal relationship between dual enrollment participation and educational outcomes.
First, while the Perry Preschool results are based on a randomized design, the CPC study, led by Arthur Reynolds and Judy Temple, used a quasi-experimental group without a pre-test for major outcome variables.
We therefore selected these three tests for inclusion into a final multivariate logistic regression model (Table S9) that used program outcome from only the observed (nonimputed) dataset as the dependent variable.
In Poetugal I believe this would be classified as gambling, because you are using money for a variable outcome (even knowing the odds here is not enough to put it apart from gambling imho).
Using the computer's high calculation speed and signal capacity to arrive at a large number of variables, Molnar nonetheless insists upon the importance of hazard and chance in the final outcome — by injecting small programming «interferences,» she offsets predictable outcomes.
In her variable edition, Endless Outcomes, Campbell developed an «arrested mobile» using handmade paper, with embedded strings and shaped color components encapsulated between a colored base sheet and a translucent abaca paper overlay.
Any outcome that can be measured in a lab and used to prove is computable, and any computable outcome can be produced by hidden variables.
In case of continuous variables there is no way around the fact that our largely arbitrary choices influence the outcome of our analysis, when our goal is to make inferences on the statistical properties of variables that can be used to describe the real world.
First, people are now used to relying on computerization for everything (which, in the legal area, can include research and online dispute resolution, as well as mathematical calculations of probable outcomes given a set of variables).
Campbell published the early results of a similar study of petitioners» and appellants» briefs in the Supreme Court, Ninth Circuit, and California Supreme Court.57 He used the StyleWriter writing and editing software package to capture eight different readability measures and coded one dependent variable (the appellant's outcome).58 When considering all appellate briefs, none of the eight readability measures showed a statistically significant correlation to appellant's outcome.
Since we found baseline differences in race / ethnicity and clinic site by treatment group, we also conducted multivariate analyses to control for these variables on outcomes including EC use, unprotected intercourse, contraceptive method change, frequency of condom use, and condom use at last intercourse.
We also modelled the developmental measures as continuous variables (standardised to facilitate comparisons) and results were again consistent with those obtained using the dichotomised outcomes (tables available on request).
We used the function (MODEL INDIRECT) in Mplus version 7.2 (Muthén and Muthén, 1998 — 2012) and obtained bootstrap confidence intervals for the effect of the independent variables (parenting and SES risk exposure) on the outcome variable (young adult self - reported health) through the mediator (methylation index) using 1000 replicates to assess the bias - corrected 95 % confidence intervals for the IE (Hayes, 2009).
We used multivariate analysis of variance to combine the results across primary outcome variables to ascertain the potential for spurious significance due to multiple comparisons.
Auxiliary Variables in Mixture Modeling: Using the BCH Method in Mplus to Estimate a Distal Outcome Model and an Arbitrary Secondary Model.
Because maternal trait anxiety was highly correlated with a multitude of the study's dependent variables (eg, mother's depression and child outcomes), it also was used as a covariate in subsequent data analyses.
c Refers to the Time 1 measurement of the same eating behaviour variable used as the Time 2 outcome variable
Discrete - time survival analysis, with person - year the unit of analysis and a logistic link function, was used to examine associations of temporally primary (based on retrospective age - at - onset reports) mental disorders and subsequent first onset of suicidality.29 Time was modeled as a separate dummy predictor variable for each year of life up to age at interview or age at onset of the outcome, whichever came first.
For the treatment period, the primary analysis for continuous measures was an analysis of variance using the slope of change in the primary variables as the outcome measures and center, treatment, negative affect subtype, and all interactions as the independent measures.
Missing values were predicted using an iterative series of appropriate regression models (logistic or multinomial) conditional on the observed values of the outcome variable, independent variables used in regression modelling and additional measured variables.
Five self - report questionnaires will be used at baseline and, except for the sociodemographic variables, after the intervention is completed (12, 18 and 24 months later) to evaluate the short - term and long - term effects of the intervention on primary (health) and secondary (social participation, life satisfaction and healthcare services utilisation) outcomes and to describe the participants (table 1).
It has been shown that inferences resulting from this analysis are virtually identical no matter which of these outcome measures is used.30 In addition to the covariates previously noted, the regression analysis was repeated to include annual household income, mother's treatment setting (primary vs psychiatric outpatient care), and treatment status of child during the 3 - month follow - up period in order to investigate the further potential confounding effects of these variables.
Baumrindà cents â «¬ â «cents s typology portrays parenting as something analogous to fixed personality traits (or the fixed child social competence traits used as the outcome variables in her research).
Second, a path model with maximum likelihood estimation was applied to evaluate the effects of depression between the variables significantly associated with fatigue using the AMOS computer program.34 A path model is defined as a diagram relating independent (exposure), intermediary (mediating) and dependent (outcome) variables.35 In our hypothesised model, fatigue was the dependent variable, health - related quality of life domains were the independent variables, and depression the intermediate, mediating variable of fatigue.
The contribution of adversity variables over the life - course in mediating excess risks of common mental disorders and poorer self - rated health at midlife was assessed.31 To assess mediation, three criteria needed to be fulfilled.31 First, the association of parental migration history with putative mediator was assessed using multivariable logistic regression.31 Second, the association of the putative mediator with the outcome variable (poorer self - rated health and common mental disorders at midlife) was assessed using multivariable logistic regression.31 Finally, the association of parental migration history with outcome --(either midlife common mental disorders or poorer self - rated health at midlife) was assessed in the presence of the putative mediator.31 If the coefficient for the association between parental migration history and outcome was reduced in the presence of the putative mediator, then it was presumed that the data were consistent with mediation.31
The caregiver's overall assessment of the child's health and serious illness in the past year at the interview at age 6 years was used to assess the outcome variables.
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