Sentences with phrase «means differences in outcome»

Not exact matches

And when things go wrong between co-founders, as with most things in life, a little planning up front can mean the difference between a catastrophic vs. merely painful outcome.»

[01:10] Introduction [02:45] James welcomes Tony to the podcast [03:35] Tony's leap year birthday [04:15] Unshakeable delivers the specific facts you need to know [04:45] What James learned from Unshakeable [05:25] Most people panic when the stock market drops [05:45] Getting rid of your fear of investing [06:15] Last January was the worst opening, but it was a correction [06:45] You are losing money when you sell on corrections [06:55] Bear markets come every 5 years on average [07:10] The greatest opportunity for a millennial [07:40] Waiting for corrections to invest [08:05] Warren Buffet's advice for investors [08:55] If you miss the top 10 trading days a year... [09:25] Three different investor scenarios over a 20 year period [10:40] The best trading days come after the worst [11:45] Investing in the current world [12:05] What Clinton and Bush think of the current situation [12:45] The office is far bigger than the occupant [13:35] Information helps reduce fear [14:25] James's story of the billionaire upset over another's wealth [14:45] What money really is [15:05] The story of Adolphe Merkle [16:05] The story of Chuck Feeney [16:55] The importance of the right mindset [17:15] What fuels Tony [19:15] Find something you care about more than yourself [20:25] Make your mission to surround yourself with the right people [21:25] Suffering made Tony hungry for more [23:25] By feeding his mind, Tony found strength [24:15] Great ideas don't interrupt you, you have to pursue them [25:05] Never - ending hunger is what matters [25:25] Richard Branson is the epitome of hunger and drive [25:40] Hunger is the common denominator [26:30] What you can do starting right now [26:55] Success leaves clues [28:10] What it means to take massive action [28:30] Taking action commits you to following through [29:40] If you do nothing you'll learn nothing [30:20] There must be an emotional purpose behind what you're doing [30:40] How does Tony ignite creativity in his own life [32:00] «How is not as important as «why» [32:40] What and why unleash the psyche [33:25] Breaking the habit of focusing on «how» [35:50] Deep Practice [35:10] Your desired outcome will determine your action [36:00] The difference between «what» and «why» [37:00] Learning how to chunk and group [37:40] Don't mistake movement for achievement [38:30] Tony doesn't negotiate with his mind [39:30] Change your thoughts and change your biochemistry [40:00] The bad habit of being stressed [40:40] Beautiful and suffering states [41:50] The most important decision is to live in a beautiful state no matter what [42:40] Consciously decide to take yourself out of suffering [43:40] Focus on appreciation, joy and love [44:30] Step out of suffering and find the solution [45:00] Dealing with mercury poisoning [45:40] Tony's process for stepping out of suffering [46:10] Stop identifying with thoughts — they aren't yours [47:40] Trade your expectations for appreciation [50:00] The key to life — gratitude [51:40] What is freedom for you?

We also estimated relative indices of inequality (RII) and slope indices of inequality (SII) as summary measures of relative and absolute inequalities of breastfeeding outcomes, respectively, across the entire distribution of maternal education.24 For child IQ, linear regression analyses using GEEs were performed to estimate mean IQ differences in lower maternal education from the reference category in each intervention group and compared between the groups.

Standardised mean differences were derived to take account of the variety of behavioural outcome measures included and random effect models adopted in view of variability of the intervention and target populations across studies.

In future updates, as appropriate, we will use the standardised mean difference to combine trials that measure the same outcome, but used different methods.

In future updates, for continuous data, we will use the mean difference if outcomes are measured in the same way between trialIn future updates, for continuous data, we will use the mean difference if outcomes are measured in the same way between trialin the same way between trials.

Controlled trials of exclusive versus mixed breastfeeding for four to six months, developing countries Infant outcomes Growth Weight gain was not significantly different between infants assigned to continued exclusive breastfeeding to six months versus those assigned to mixed breastfeeding from four to six months, with a mean difference (MD) in weight gain from four to six months of 20.78 g / mo (95 % confidence interval (CI)-LSB--21.99 to 63.54], p = 0.34; 2 trials / 265 infants) and from six to 12 months of -2.62 g / mo (95 % CI -LSB--25.85 to 20.62], p = 0.83; 2 trials / 233 infants).

Articles were included if they fulfilled the following criteria: 1) having been breastfed in infancy was compared with bottle (artificial) feeding, 2) systolic or diastolic blood pressure had been measured as an outcome, and 3) an estimate of the mean difference in blood pressure between breast - and bottle - fed groups could be extracted from the article.

The primary outcome was changes in depression scores measured by the HRSD, and these researchers considered, a priori, the mean difference of 3.5 points to be a clinically important treatment effect.

In its most simple form, this technique could estimate simple mean differences using the following equation for outcome Y of student i in matched pair In its most simple form, this technique could estimate simple mean differences using the following equation for outcome Y of student i in matched pair in matched pair m:

Simply put, just because a 22.7 percent spending increase is large enough to eliminate the average outcome differences between the poor and non-poor it does not mean that a 22.7 percent spending increase is large enough to eliminate the difference in outcome between the very poor and the very wealthy or differences across other measures of socioeconomic status.

In its simplest form, this technique can estimate mean differences using the following equation for outcome Y of student i in matched pair In its simplest form, this technique can estimate mean differences using the following equation for outcome Y of student i in matched pair in matched pair m:

Presentation includes: Warm up (expanding brackets) Keywords, objectives and outcomes Indices questions Difference of two squares example 11 different examples increasing in difficulty Graph to show meaning behind difference of two squares Quick test of 5 questions Differentiated worksheets WWW / EBI Worksheets Factorising practice Factorising mixed FactorisDifference of two squares example 11 different examples increasing in difficulty Graph to show meaning behind difference of two squares Quick test of 5 questions Differentiated worksheets WWW / EBI Worksheets Factorising practice Factorising mixed Factorisdifference of two squares Quick test of 5 questions Differentiated worksheets WWW / EBI Worksheets Factorising practice Factorising mixed Factorising higher

This is a logarithmic scale, which means a little separation signifies quite a difference in outcomes.

I would expect greater resolution in the adjustments than that, and I can imagine different outcomes based on different textures and patterns in ship - buoy differences — if conditions, temperature, season, humidity, etc. have a systematic influence on the S - B difference, and this skews the mean difference in a way that affects our results.

That is, a difference of even 1 °C in outcome means a huge difference in impact across the planet.

Table 2 shows between group differences (those showing differences in mean change between groups) for all outcomes.

Thus, available data at each assessment for the entire sample were used in the multilevel models conducted using SAS software, version 9.2.29 The primary outcome was the least - squares mean difference in clinician - rated PTSD symptoms, derived from these models (see below), from pretreatment to posttreatment compared between the CBCT and wait - list groups.

We implemented unadjusted and adjusted analyses (potential prognostic factors listed in table 2) of the outcomes (all quantitative) by using random effects linear regression models fitted by maximum likelihood estimation to allow for the correlation between the responses of participants from the same maternal and child health centre.29 We present means and standard deviations for each trial arm, along with the mean difference between arms, 95 % confidence intervals, and P values.

The baseline covariates serve as adjustment for potential differences between intervention and control families that resulted from nonrandom assignment at quasi-experimental sites or selective reporting of outcome data.29 Results of these adjusted analyses are reported as ORs for dichotomous variables and as differences in means for continuous outcomes.

A decomposition methodology examined the contribution from different sources in explaining the SES gradient in early cognitive outcomes.34 Similar to the methodology used in the UK Millennium Cohort Study, we focus on the quintile 1 — quintile 5 (Q1 — Q5) and quintile 1 — quintile 3 (Q1 — Q3) gaps and calculate the percentile points and the percentage of the raw gaps explained by each candidate explanatory factor and each domain of factors.2 This was done by taking the product of the mean gap in each explanatory factor (mean difference between Q1 — Q5 and Q1 — Q3) by the β coefficients from linear regression models that predict reading and math ability from SES and all candidate explanatory factors.

Minkovitz et al51 reported relevant outcomes at short - term follow - up; however, we were not able to calculate standardised mean differences because of the lack of data and errors in the results table.

«Both parties agree in advance to resolve their differences through cooperative means that results in a negotiated outcome.»

Standardised mean differences were derived to take account of the variety of behavioural outcome measures included and random effect models adopted in view of variability of the intervention and target populations across studies.

To facilitate the interpretation of analysis outcomes by presenting raw means and differences, we chose to only include studies that used the PSI -LRB-- SF) and / or the PSS: NICU to measure parental stress, resulting in 85 out of 105 articles.